| Year |
Citation |
Score |
| 2022 |
Pevzner P, Vingron M, Reidys C, Sun F, Istrail S. Michael Waterman's Contributions to Computational Biology and Bioinformatics. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 35727100 DOI: 10.1089/cmb.2022.29066.pp |
0.508 |
|
| 2022 |
Istrail S, Pevzner P, Sun F, Vingron M. Special Issue: Professor Michael Waterman's 80th Birthday, Part 1. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 35704861 DOI: 10.1089/cmb.2022.29065.si |
0.385 |
|
| 2020 |
Melo US, Schöpflin R, Acuna-Hidalgo R, Mensah MA, Fischer-Zirnsak B, Holtgrewe M, Klever MK, Türkmen S, Heinrich V, Pluym ID, Matoso E, Bernardo de Sousa S, Louro P, Hülsemann W, Cohen M, ... ... Vingron M, et al. Hi-C Identifies Complex Genomic Rearrangements and TAD-Shuffling in Developmental Diseases. American Journal of Human Genetics. PMID 32470376 DOI: 10.1016/J.Ajhg.2020.04.016 |
0.368 |
|
| 2020 |
Moeinzadeh MH, Yang J, Muzychenko E, Gallone G, Heller D, Reinert K, Haas S, Vingron M. Ranbow: A fast and accurate method for polyploid haplotype reconstruction. Plos Computational Biology. 16: e1007843. PMID 32469863 DOI: 10.1371/Journal.Pcbi.1007843 |
0.352 |
|
| 2019 |
Benner P, Vingron M. ModHMM: A Modular Supra-Bayesian Genome Segmentation Method. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 31891534 DOI: 10.1089/Cmb.2019.0280 |
0.34 |
|
| 2019 |
Ramisch A, Heinrich V, Glaser LV, Fuchs A, Yang X, Benner P, Schöpflin R, Li N, Kinkley S, Römer-Hillmann A, Longinotto J, Heyne S, Czepukojc B, Kessler SM, Kiemer AK, ... ... Vingron M, et al. CRUP: a comprehensive framework to predict condition-specific regulatory units. Genome Biology. 20: 227. PMID 31699133 DOI: 10.1186/S13059-019-1860-7 |
0.359 |
|
| 2019 |
Despang A, Schöpflin R, Franke M, Ali S, Jerković I, Paliou C, Chan WL, Timmermann B, Wittler L, Vingron M, Mundlos S, Ibrahim DM. Functional dissection of the Sox9-Kcnj2 locus identifies nonessential and instructive roles of TAD architecture. Nature Genetics. PMID 31358994 DOI: 10.1038/S41588-019-0466-Z |
0.397 |
|
| 2019 |
van Heesch S, Witte F, Schneider-Lunitz V, Schulz JF, Adami E, Faber AB, Kirchner M, Maatz H, Blachut S, Sandmann CL, Kanda M, Worth CL, Schafer S, Calviello L, Merriott R, ... ... Vingron M, et al. The Translational Landscape of the Human Heart. Cell. PMID 31155234 DOI: 10.1016/J.Cell.2019.05.010 |
0.321 |
|
| 2019 |
Paliou C, Guckelberger P, Schöpflin R, Heinrich V, Esposito A, Chiariello AM, Bianco S, Annunziatella C, Helmuth J, Haas S, Jerković I, Brieske N, Wittler L, Timmermann B, Nicodemi M, ... Vingron M, et al. Preformed chromatin topology assists transcriptional robustness of during limb development. Proceedings of the National Academy of Sciences of the United States of America. PMID 31147463 DOI: 10.1073/Pnas.1900672116 |
0.367 |
|
| 2019 |
Mallm JP, Iskar M, Ishaque N, Klett LC, Kugler SJ, Muino JM, Teif VB, Poos AM, Großmann S, Erdel F, Tavernari D, Koser SD, Schumacher S, Brors B, König R, ... ... Vingron M, et al. Linking aberrant chromatin features in chronic lymphocytic leukemia to transcription factor networks. Molecular Systems Biology. 15: e8339. PMID 31118277 DOI: 10.15252/Msb.20188339 |
0.351 |
|
| 2019 |
Zehnder T, Benner P, Vingron M. Predicting enhancers in mammalian genomes using supervised hidden Markov models. Bmc Bioinformatics. 20: 157. PMID 30917778 DOI: 10.1186/S12859-019-2708-6 |
0.413 |
|
| 2019 |
Kraft K, Magg A, Heinrich V, Riemenschneider C, Schöpflin R, Markowski J, Ibrahim DM, Acuna-Hidalgo R, Despang A, Andrey G, Wittler L, Timmermann B, Vingron M, Mundlos S. Serial genomic inversions induce tissue-specific architectural stripes, gene misexpression and congenital malformations. Nature Cell Biology. PMID 30742094 DOI: 10.1038/S41556-019-0273-X |
0.363 |
|
| 2019 |
Heller D, Vingron M. SVIM: Structural Variant Identification using Mapped Long Reads. Bioinformatics (Oxford, England). PMID 30668829 DOI: 10.1093/Bioinformatics/Btz041 |
0.363 |
|
| 2018 |
Yang X, Vingron M. Classifying human promoters by occupancy patterns identifies recurring sequence elements, combinatorial binding, and spatial interactions. Bmc Biology. 16: 138. PMID 30442124 DOI: 10.1186/S12915-018-0585-5 |
0.382 |
|
| 2018 |
Schöne S, Bothe M, Einfeldt E, Borschiwer M, Benner P, Vingron M, Thomas-Chollier M, Meijsing SH. Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise. Plos Genetics. 14: e1007793. PMID 30427832 DOI: 10.1371/Journal.Pgen.1007793 |
0.401 |
|
| 2018 |
Kragesteen BK, Spielmann M, Paliou C, Heinrich V, Schöpflin R, Esposito A, Annunziatella C, Bianco S, Chiariello AM, Jerković I, Harabula I, Guckelberger P, Pechstein M, Wittler L, Chan WL, ... ... Vingron M, et al. Dynamic 3D chromatin architecture contributes to enhancer specificity and limb morphogenesis. Nature Genetics. PMID 30262816 DOI: 10.1038/S41588-018-0221-X |
0.353 |
|
| 2018 |
van Bömmel A, Love MI, Chung HR, Vingron M. coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers. Plos Computational Biology. 14: e1006372. PMID 30142147 DOI: 10.1371/Journal.Pcbi.1006372 |
0.323 |
|
| 2018 |
Adachi K, Kopp W, Wu G, Heising S, Greber B, Stehling M, Araúzo-Bravo MJ, Boerno ST, Timmermann B, Vingron M, Schöler HR. Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency. Cell Stem Cell. PMID 29910149 DOI: 10.1016/J.Stem.2018.05.020 |
0.305 |
|
| 2018 |
Bianco S, Lupiáñez DG, Chiariello AM, Annunziatella C, Kraft K, Schöpflin R, Wittler L, Andrey G, Vingron M, Pombo A, Mundlos S, Nicodemi M. Polymer physics predicts the effects of structural variants on chromatin architecture. Nature Genetics. PMID 29662163 DOI: 10.1038/S41588-018-0098-8 |
0.342 |
|
| 2018 |
Thormann V, Rothkegel MC, Schöpflin R, Glaser LV, Djuric P, Li N, Chung HR, Schwahn K, Vingron M, Meijsing SH. Genomic dissection of enhancers uncovers principles of combinatorial regulation and cell type-specific wiring of enhancer-promoter contacts. Nucleic Acids Research. PMID 29385519 DOI: 10.1093/Nar/Gky051 |
0.373 |
|
| 2017 |
Heller D, Krestel R, Ohler U, Vingron M, Marsico A. ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data. Nucleic Acids Research. PMID 28977546 DOI: 10.1093/Nar/Gkx756 |
0.342 |
|
| 2017 |
Kopp W, Vingron M. An improved compound Poisson model for the number of motif hits in DNA sequences. Bioinformatics (Oxford, England). PMID 28961747 DOI: 10.1093/Bioinformatics/Btx539 |
0.402 |
|
| 2017 |
Will AJ, Cova G, Osterwalder M, Chan WL, Wittler L, Brieske N, Heinrich V, de Villartay JP, Vingron M, Klopocki E, Visel A, Lupiáñez DG, Mundlos S. Composition and dosage of a multipartite enhancer cluster control developmental expression of Ihh (Indian hedgehog). Nature Genetics. PMID 28846100 DOI: 10.1038/Ng.3939 |
0.35 |
|
| 2017 |
Yang J, Moeinzadeh MH, Kuhl H, Helmuth J, Xiao P, Haas S, Liu G, Zheng J, Sun Z, Fan W, Deng G, Wang H, Hu F, Zhao S, Fernie AR, ... ... Vingron M, et al. Haplotype-resolved sweet potato genome traces back its hexaploidization history. Nature Plants. PMID 28827752 DOI: 10.1038/S41477-017-0002-Z |
0.35 |
|
| 2017 |
Bhat J, Helmuth J, Chitadze G, Kouakanou L, Peters C, Vingron M, Ammerpohl O, Kabelitz D. Stochastics of cellular differentiation explained by epigenetics: The case of T-cell differentiation and functional plasticity. Scandinavian Journal of Immunology. PMID 28799233 DOI: 10.1111/Sji.12589 |
0.301 |
|
| 2016 |
Huska M, Vingron M. Improved Prediction of Non-methylated Islands in Vertebrates Highlights Different Characteristic Sequence Patterns. Plos Computational Biology. 12: e1005249. PMID 27984582 DOI: 10.1371/Journal.Pcbi.1005249 |
0.358 |
|
| 2016 |
Andrey G, Schöpflin R, Jerković I, Heinrich V, Ibrahim DM, Paliou C, Hochradel M, Timmermann B, Haas S, Vingron M, Mundlos S. Characterization of hundreds of regulatory landscapes in developing limbs reveals two regimes of chromatin folding. Genome Research. PMID 27923844 DOI: 10.1101/Gr.213066.116 |
0.351 |
|
| 2016 |
Love MI, Huska MR, Jurk M, Schöpflin R, Starick SR, Schwahn K, Cooper SB, Yamamoto KR, Thomas-Chollier M, Vingron M, Meijsing SH. Role of the chromatin landscape and sequence in determining cell type-specific genomic glucocorticoid receptor binding and gene regulation. Nucleic Acids Research. PMID 27903902 DOI: 10.1093/Nar/Gkw1163 |
0.378 |
|
| 2016 |
Schöne S, Jurk M, Helabad MB, Dror I, Lebars I, Kieffer B, Imhof P, Rohs R, Vingron M, Thomas-Chollier M, Meijsing SH. Corrigendum: Sequences flanking the core-binding site modulate glucocorticoid receptor structure and activity. Nature Communications. 7: 13784. PMID 27873998 DOI: 10.1038/Ncomms13784 |
0.302 |
|
| 2016 |
Franke M, Ibrahim DM, Andrey G, Schwarzer W, Heinrich V, Schöpflin R, Kraft K, Kempfer R, Jerković I, Chan WL, Spielmann M, Timmermann B, Wittler L, Kurth I, Cambiaso P, ... ... Vingron M, et al. Formation of new chromatin domains determines pathogenicity of genomic duplications. Nature. PMID 27706140 DOI: 10.1038/Nature19800 |
0.361 |
|
| 2016 |
Schöne S, Jurk M, Helabad MB, Dror I, Lebars I, Kieffer B, Imhof P, Rohs R, Vingron M, Thomas-Chollier M, Meijsing SH. Sequences flanking the core-binding site modulate glucocorticoid receptor structure and activity. Nature Communications. 7: 12621. PMID 27581526 DOI: 10.1038/Ncomms12621 |
0.364 |
|
| 2016 |
Du Bois I, Marsico A, Bertrams W, Schweiger MR, Caffrey BE, Sittka-Stark A, Eberhardt M, Vera J, Vingron M, Schmeck B. Genome-wide chromatin profiling of Legionella pneumophila-infected human macrophages reveals activation of the pro-bacterial host factor TNFAIP2. The Journal of Infectious Diseases. PMID 27130431 DOI: 10.1055/S-0036-1584629 |
0.322 |
|
| 2016 |
Juan D, Perner J, Carrillo de Santa Pau E, Marsili S, Ochoa D, Chung HR, Vingron M, Rico D, Valencia A. Epigenomic Co-localization and Co-evolution Reveal a Key Role for 5hmC as a Communication Hub in the Chromatin Network of ESCs. Cell Reports. PMID 26832418 DOI: 10.1016/J.Celrep.2016.01.008 |
0.321 |
|
| 2016 |
Ancherbak S, Kuruoglu EE, Vingron M. Time-Dependent Gene Network Modelling by Sequential Monte Carlo. Ieee/Acm Transactions On Computational Biology and Bioinformatics. 13: 1183-1193. PMID 26540693 DOI: 10.1109/Tcbb.2015.2496301 |
0.314 |
|
| 2015 |
Ghanbari M, Lasserre J, Vingron M. Reconstruction of gene networks using prior knowledge. Bmc Systems Biology. 9: 84. PMID 26589494 DOI: 10.1186/S12918-015-0233-4 |
0.324 |
|
| 2015 |
Muiño JM, de Bruijn S, Pajoro A, Geuten K, Vingron M, Angenent GC, Kaufmann K. Evolution of DNA-Binding Sites of a Floral Master Regulatory Transcription Factor. Molecular Biology and Evolution. PMID 26429922 DOI: 10.1093/Molbev/Msv210 |
0.399 |
|
| 2015 |
George J, Lim JS, Jang SJ, Cun Y, Ozretić L, Kong G, Leenders F, Lu X, Fernández-Cuesta L, Bosco G, Müller C, Dahmen I, Jahchan NS, Park KS, Yang D, ... ... Vingron M, et al. Comprehensive genomic profiles of small cell lung cancer. Nature. 524: 47-53. PMID 26168399 DOI: 10.1038/Nature14664 |
0.352 |
|
| 2015 |
Schafer S, Adami E, Heinig M, Rodrigues KE, Kreuchwig F, Silhavy J, van Heesch S, Simaite D, Rajewsky N, Cuppen E, Pravenec M, Vingron M, Cook SA, Hubner N. Translational regulation shapes the molecular landscape of complex disease phenotypes. Nature Communications. 6: 7200. PMID 26007203 DOI: 10.1038/Ncomms8200 |
0.391 |
|
| 2015 |
Heinig M, Colomé-Tatché M, Taudt A, Rintisch C, Schafer S, Pravenec M, Hubner N, Vingron M, Johannes F. histoneHMM: Differential analysis of histone modifications with broad genomic footprints. Bmc Bioinformatics. 16: 60. PMID 25884684 DOI: 10.1186/S12859-015-0491-6 |
0.353 |
|
| 2015 |
Starick SR, Ibn-Salem J, Jurk M, Hernandez C, Love MI, Chung HR, Vingron M, Thomas-Chollier M, Meijsing SH. ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors. Genome Research. 25: 825-35. PMID 25720775 DOI: 10.1101/Gr.185157.114 |
0.398 |
|
| 2015 |
Fernandez-Cuesta L, Sun R, Menon R, George J, Lorenz S, Meza-Zepeda LA, Peifer M, Plenker D, Heuckmann JM, Leenders F, Zander T, Dahmen I, Koker M, Schöttle J, Ullrich RT, ... ... Vingron M, et al. Identification of novel fusion genes in lung cancer using breakpoint assembly of transcriptome sequencing data. Genome Biology. 16: 7. PMID 25650807 DOI: 10.1186/S13059-014-0558-0 |
0.369 |
|
| 2015 |
Hu H, Haas SA, Chelly J, Van Esch H, Raynaud M, de Brouwer AP, Weinert S, Froyen G, Frints SG, Laumonnier F, Zemojtel T, Love MI, Richard H, Emde AK, Bienek M, ... ... Vingron M, et al. X-exome sequencing of 405 unresolved families identifies seven novel intellectual disability genes. Molecular Psychiatry. PMID 25644381 DOI: 10.1038/Mp.2014.193 |
0.333 |
|
| 2014 |
Perner J, Lasserre J, Kinkley S, Vingron M, Chung HR. Inference of interactions between chromatin modifiers and histone modifications: from ChIP-Seq data to chromatin-signaling. Nucleic Acids Research. 42: 13689-95. PMID 25414326 DOI: 10.1093/Nar/Gku1234 |
0.314 |
|
| 2014 |
Rintisch C, Heinig M, Bauerfeind A, Schafer S, Mieth C, Patone G, Hummel O, Chen W, Cook S, Cuppen E, Colomé-Tatché M, Johannes F, Jansen RC, Neil H, Werner M, ... ... Vingron M, et al. Natural variation of histone modification and its impact on gene expression in the rat genome. Genome Research. 24: 942-53. PMID 24793478 DOI: 10.1101/Gr.169029.113 |
0.348 |
|
| 2014 |
Meng G, Vingron M. Condition-specific target prediction from motifs and expression Bioinformatics. 30: 1643-1650. PMID 24532727 DOI: 10.1093/Bioinformatics/Btu066 |
0.354 |
|
| 2014 |
Dress A, Linial M, Troyanskaya O, Vingron M. ISCB/SPRINGER series in computational biology Bioinformatics. 30: 146-147. DOI: 10.1093/Bioinformatics/Btt630 |
0.342 |
|
| 2013 |
Thomas-Chollier M, Watson LC, Cooper SB, Pufall MA, Liu JS, Borzym K, Vingron M, Yamamoto KR, Meijsing SH. A naturally occurring insertion of a single amino acid rewires transcriptional regulation by glucocorticoid receptor isoforms. Proceedings of the National Academy of Sciences of the United States of America. 110: 17826-31. PMID 24127590 DOI: 10.1073/Pnas.1316235110 |
0.372 |
|
| 2013 |
Lasserre J, Chung HR, Vingron M. Finding associations among histone modifications using sparse partial correlation networks. Plos Computational Biology. 9: e1003168. PMID 24039558 DOI: 10.1371/Journal.Pcbi.1003168 |
0.301 |
|
| 2013 |
Mammana A, Vingron M, Chung HR. Inferring nucleosome positions with their histone mark annotation from ChIP data. Bioinformatics (Oxford, England). 29: 2547-54. PMID 23981350 DOI: 10.1093/Bioinformatics/Btt449 |
0.32 |
|
| 2013 |
Göke J, Chan YS, Yan J, Vingron M, Ng HH. Genome-wide kinase-chromatin interactions reveal the regulatory network of ERK signaling in human embryonic stem cells. Molecular Cell. 50: 844-55. PMID 23727019 DOI: 10.1016/J.Molcel.2013.04.030 |
0.321 |
|
| 2013 |
Feldmann R, Fischer C, Kodelja V, Behrens S, Haas S, Vingron M, Timmermann B, Geikowski A, Sauer S. Genome-wide analysis of LXRα activation reveals new transcriptional networks in human atherosclerotic foam cells. Nucleic Acids Research. 41: 3518-31. PMID 23393188 DOI: 10.1093/Nar/Gkt034 |
0.403 |
|
| 2012 |
Ni S, Vingron M. R2KS: A novel measure for comparing gene expression based on ranked gene lists Journal of Computational Biology. 19: 766-775. PMID 22697246 DOI: 10.1089/Cmb.2012.0026 |
0.394 |
|
| 2012 |
Myšičková A, Vingron M. Detection of interacting transcription factors in human tissues using predicted DNA binding affinity. Bmc Genomics. 13: S2. PMID 22369666 DOI: 10.1186/1471-2164-13-S1-S2 |
0.351 |
|
| 2012 |
Schulz MH, Zerbino DR, Vingron M, Birney E. Oases: robust de novo RNA-seq assembly across the dynamic range of expression levels. Bioinformatics (Oxford, England). 28: 1086-92. PMID 22368243 DOI: 10.1093/Bioinformatics/Bts094 |
0.347 |
|
| 2012 |
Sun R, Love MI, Zemojtel T, Emde AK, Chung HR, Vingron M, Haas SA. Breakpointer: using local mapping artifacts to support sequence breakpoint discovery from single-end reads. Bioinformatics (Oxford, England). 28: 1024-5. PMID 22302574 DOI: 10.1093/Bioinformatics/Bts064 |
0.345 |
|
| 2012 |
Göke J, Schulz MH, Lasserre J, Vingron M. Estimation of pairwise sequence similarity of mammalian enhancers with word neighbourhood counts. Bioinformatics (Oxford, England). 28: 656-63. PMID 22247280 DOI: 10.1093/Bioinformatics/Bts028 |
0.416 |
|
| 2012 |
Emde AK, Schulz MH, Weese D, Sun R, Vingron M, Kalscheuer VM, Haas SA, Reinert K. Detecting genomic indel variants with exact breakpoints in single- and paired-end sequencing data using splazers Bioinformatics. 28: 619-627. PMID 22238266 DOI: 10.1093/Bioinformatics/Bts019 |
0.39 |
|
| 2011 |
Love MI, Myši?ková A, Sun R, Kalscheuer V, Vingron M, Haas SA. Modeling read counts for CNV detection in exome sequencing data. Statistical Applications in Genetics and Molecular Biology. 10. PMID 23089826 DOI: 10.2202/1544-6115.1732 |
0.363 |
|
| 2011 |
Göke J, Jung M, Behrens S, Chavez L, O'Keeffe S, Timmermann B, Lehrach H, Adjaye J, Vingron M. Combinatorial binding in human and mouse embryonic stem cells identifies conserved enhancers active in early embryonic development. Plos Computational Biology. 7: e1002304. PMID 22215994 DOI: 10.1371/Journal.Pcbi.1002304 |
0.351 |
|
| 2011 |
Roepcke S, Stahlberg S, Klein H, Schulz MH, Theobald L, Gohlke S, Vingron M, Walther DJ. A tandem sequence motif acts as a distance-dependent enhancer in a set of genes involved in translation by binding the proteins NonO and SFPQ. Bmc Genomics. 12: 624. PMID 22185324 DOI: 10.1186/1471-2164-12-624 |
0.437 |
|
| 2011 |
Thomas-Chollier M, Hufton A, Heinig M, O'Keeffe S, Masri NE, Roider HG, Manke T, Vingron M. Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs. Nature Protocols. 6: 1860-9. PMID 22051799 DOI: 10.1038/Nprot.2011.409 |
0.395 |
|
| 2011 |
Zemojtel T, Kielbasa SM, Arndt PF, Behrens S, Bourque G, Vingron M. CpG deamination creates transcription factor-binding sites with high efficiency. Genome Biology and Evolution. 3: 1304-11. PMID 22016335 DOI: 10.1093/Gbe/Evr107 |
0.372 |
|
| 2011 |
Serin A, Vingron M. DeBi: Discovering Differentially Expressed Biclusters using a Frequent Itemset Approach. Algorithms For Molecular Biology : Amb. 6: 18. PMID 21699691 DOI: 10.1186/1748-7188-6-18 |
0.344 |
|
| 2011 |
Szczurek E, Markowetz F, Gat-Viks I, Biecek P, Tiuryn J, Vingron M. Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data. Bmc Bioinformatics. 12: 249. PMID 21693013 DOI: 10.1186/1471-2105-12-249 |
0.305 |
|
| 2011 |
Warnatz HJ, Schmidt D, Manke T, Piccini I, Sultan M, Borodina T, Balzereit D, Wruck W, Soldatov A, Vingron M, Lehrach H, Yaspo ML. The BTB and CNC homology 1 (BACH1) target genes are involved in the oxidative stress response and in control of the cell cycle. The Journal of Biological Chemistry. 286: 23521-32. PMID 21555518 DOI: 10.1074/Jbc.M111.220178 |
0.388 |
|
| 2011 |
Lin S, Haas S, Zemojtel T, Xiao P, Vingron M, Li R. Genome-wide comparison of cyanobacterial transposable elements, potential genetic diversity indicators. Gene. 473: 139-49. PMID 21156198 DOI: 10.1016/J.Gene.2010.11.011 |
0.31 |
|
| 2011 |
Hallen L, Klein H, Stoschek C, Wehrmeyer S, Nonhoff U, Ralser M, Wilde J, Röhr C, Schweiger MR, Zatloukal K, Vingron M, Lehrach H, Konthur Z, Krobitsch S. The KRAB-containing zinc-finger transcriptional regulator ZBRK1 activates SCA2 gene transcription through direct interaction with its gene product, ataxin-2. Human Molecular Genetics. 20: 104-14. PMID 20926453 DOI: 10.1093/Hmg/Ddq436 |
0.37 |
|
| 2010 |
Chung HR, Dunkel I, Heise F, Linke C, Krobitsch S, Ehrenhofer-Murray AE, Sperling SR, Vingron M. The effect of micrococcal nuclease digestion on nucleosome positioning data. Plos One. 5: e15754. PMID 21206756 DOI: 10.1371/Journal.Pone.0015754 |
0.35 |
|
| 2010 |
Behrens S, Vingron M. Studying the evolution of promoter sequences: a waiting time problem. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 17: 1591-606. PMID 21128851 DOI: 10.1089/Cmb.2010.0084 |
0.324 |
|
| 2010 |
Heinig M, Petretto E, Wallace C, Bottolo L, Rotival M, Lu H, Li Y, Sarwar R, Langley SR, Bauerfeind A, Hummel O, Lee YA, Paskas S, Rintisch C, Saar K, ... ... Vingron M, et al. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk. Nature. 467: 460-4. PMID 20827270 DOI: 10.1038/Nature09386 |
0.355 |
|
| 2010 |
Szczurek E, Biecek P, Tiuryn J, Vingron M. Introducing knowledge into differential expression analysis. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 17: 953-67. PMID 20726790 DOI: 10.1089/Cmb.2010.0034 |
0.355 |
|
| 2010 |
Kiełbasa SM, Klein H, Roider HG, Vingron M, Blüthgen N. TransFind--predicting transcriptional regulators for gene sets. Nucleic Acids Research. 38: W275-80. PMID 20511592 DOI: 10.1093/Nar/Gkq438 |
0.4 |
|
| 2010 |
Warnatz HJ, Querfurth R, Guerasimova A, Cheng X, Haas SA, Hufton AL, Manke T, Vanhecke D, Nietfeld W, Vingron M, Janitz M, Lehrach H, Yaspo ML. Functional analysis and identification of cis-regulatory elements of human chromosome 21 gene promoters. Nucleic Acids Research. 38: 6112-23. PMID 20494980 DOI: 10.1093/Nar/Gkq402 |
0.364 |
|
| 2010 |
Meng G, Mosig A, Vingron M. A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes. Bmc Bioinformatics. 11: 267. PMID 20487530 DOI: 10.1186/1471-2105-11-267 |
0.377 |
|
| 2010 |
Richard H, Schulz MH, Sultan M, Nürnberger A, Schrinner S, Balzereit D, Dagand E, Rasche A, Lehrach H, Vingron M, Haas SA, Yaspo ML. Prediction of alternative isoforms from exon expression levels in RNA-Seq experiments. Nucleic Acids Research. 38: e112. PMID 20150413 DOI: 10.1093/Nar/Gkq041 |
0.359 |
|
| 2010 |
Karli? R, Chung HR, Lasserre J, Vlahovicek K, Vingron M. Histone modification levels are predictive for gene expression. Proceedings of the National Academy of Sciences of the United States of America. 107: 2926-31. PMID 20133639 DOI: 10.1073/Pnas.0909344107 |
0.326 |
|
| 2010 |
Manke T, Heinig M, Vingron M. Quantifying the effect of sequence variation on regulatory interactions. Human Mutation. 31: 477-83. PMID 20127973 DOI: 10.1002/Humu.21209 |
0.417 |
|
| 2009 |
Roider HG, Lenhard B, Kanhere A, Haas SA, Vingron M. CpG-depleted promoters harbor tissue-specific transcription factor binding signals - Implications for motif overrepresentation analyses Nucleic Acids Research. 37: 6305-6315. PMID 19736212 DOI: 10.1093/Nar/Gkp682 |
0.375 |
|
| 2009 |
Hufton AL, Mathia S, Braun H, Georgi U, Lehrach H, Vingron M, Poustka AJ, Panopoulou G. Deeply conserved chordate noncoding sequences preserve genome synteny but do not drive gene duplicate retention. Genome Research. 19: 2036-51. PMID 19704032 DOI: 10.1101/Gr.093237.109 |
0.433 |
|
| 2009 |
Szczurek E, Gat-Viks I, Tiuryn J, Vingron M. Elucidating regulatory mechanisms downstream of a signaling pathway using informative experiments. Molecular Systems Biology. 5: 287. PMID 19584836 DOI: 10.1038/Msb.2009.45 |
0.306 |
|
| 2009 |
Chung HR, Vingron M. Comparison of sequence-dependent tiling array normalization approaches. Bmc Bioinformatics. 10: 204. PMID 19566918 DOI: 10.1186/1471-2105-10-204 |
0.359 |
|
| 2009 |
Steinhoff C, Paulsen M, Kielbasa S, Walter J, Vingron M. Expression profile and transcription factor binding site exploration of imprinted genes in human and mouse. Bmc Genomics. 10: 144. PMID 19335913 DOI: 10.1186/1471-2164-10-144 |
0.356 |
|
| 2009 |
Vingron M, Brazma A, Coulson R, van Helden J, Manke T, Palin K, Sand O, Ukkonen E. Integrating sequence, evolution and functional genomics in regulatory genomics. Genome Biology. 10: 202. PMID 19226437 DOI: 10.1186/Gb-2009-10-1-202 |
0.371 |
|
| 2009 |
Blüthgen N, Legewie S, Kielbasa SM, Schramme A, Tchernitsa O, Keil J, Solf A, Vingron M, Schäfer R, Herzel H, Sers C. A systems biological approach suggests that transcriptional feedback regulation by dual-specificity phosphatase 6 shapes extracellular signal-related kinase activity in RAS-transformed fibroblasts. The Febs Journal. 276: 1024-35. PMID 19154344 DOI: 10.1111/J.1742-4658.2008.06846.X |
0.305 |
|
| 2009 |
Kanhere A, Vingron M. Horizontal Gene Transfers in prokaryotes show differential preferences for metabolic and translational genes. Bmc Evolutionary Biology. 9: 9. PMID 19134215 DOI: 10.1186/1471-2148-9-9 |
0.329 |
|
| 2009 |
Zemojtel T, Kielbasa SM, Arndt PF, Chung HR, Vingron M. Methylation and deamination of CpGs generate p53-binding sites on a genomic scale. Trends in Genetics : Tig. 25: 63-6. PMID 19101055 DOI: 10.1016/J.Tig.2008.11.005 |
0.302 |
|
| 2009 |
Roider HG, Manke T, O'keeffe S, Vingron M, Haas SA. PASTAA: Identifying transcription factors associated with sets of co-regulated genes Bioinformatics. 25: 435-442. PMID 19073590 DOI: 10.1093/Bioinformatics/Btn627 |
0.378 |
|
| 2009 |
Chung HR, Vingron M. Sequence-dependent nucleosome positioning. Journal of Molecular Biology. 386: 1411-22. PMID 19070622 DOI: 10.1016/J.Jmb.2008.11.049 |
0.348 |
|
| 2009 |
Seibt S, Solf A, Steinhoff C, Kielbasa S, Szczurek E, Vingron M, Sers C. A role for Fra1 in the control of transcriptional network reorganization following ras transformation Cell Communication and Signaling. 7: 1-1. DOI: 10.1186/1478-811X-7-S1-A8 |
0.364 |
|
| 2008 |
Zhang J, Vingron M, Roepcke S. Characteristic differences between the promoters of intron-containing and intronless ribosomal protein genes in yeast. Bmc Research Notes. 1: 109. PMID 18959800 DOI: 10.1186/1756-0500-1-109 |
0.408 |
|
| 2008 |
Winter J, Roepcke S, Krause S, Müller EC, Otto A, Vingron M, Schweiger S. Comparative 3'UTR analysis allows identification of regulatory clusters that drive Eph/ephrin expression in cancer cell lines. Plos One. 3: e2780. PMID 18648668 DOI: 10.1371/Journal.Pone.0002780 |
0.341 |
|
| 2008 |
Pape UJ, Rahmann S, Sun F, Vingron M. Compound poisson approximation of the number of occurrences of a position frequency matrix (PFM) on both strands. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 15: 547-64. PMID 18631020 DOI: 10.1089/Cmb.2007.0084 |
0.345 |
|
| 2008 |
Hufton AL, Groth D, Vingron M, Lehrach H, Poustka AJ, Panopoulou G. Early vertebrate whole genome duplications were predated by a period of intense genome rearrangement. Genome Research. 18: 1582-91. PMID 18625908 DOI: 10.1101/Gr.080119.108 |
0.328 |
|
| 2008 |
Sultan M, Schulz MH, Richard H, Magen A, Klingenhoff A, Scherf M, Seifert M, Borodina T, Soldatov A, Parkhomchuk D, Schmidt D, O'Keeffe S, Haas S, Vingron M, Lehrach H, et al. A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome. Science (New York, N.Y.). 321: 956-60. PMID 18599741 DOI: 10.1126/Science.1160342 |
0.405 |
|
| 2008 |
Bauer S, Grossmann S, Vingron M, Robinson PN. Ontologizer 2.0--a multifunctional tool for GO term enrichment analysis and data exploration. Bioinformatics (Oxford, England). 24: 1650-1. PMID 18511468 DOI: 10.1093/Bioinformatics/Btn250 |
0.32 |
|
| 2008 |
Toenjes M, Schueler M, Hammer S, Pape UJ, Fischer JJ, Berger F, Vingron M, Sperling S. Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes Molecular Biosystems. 4: 589-598. PMID 18493657 DOI: 10.1039/B800207J |
0.377 |
|
| 2008 |
Manke T, Roider HG, Vingron M. Statistical modeling of transcription factor binding affinities predicts regulatory interactions. Plos Computational Biology. 4: e1000039. PMID 18369429 DOI: 10.1371/Journal.Pcbi.1000039 |
0.374 |
|
| 2008 |
Chen W, Kalscheuer V, Tzschach A, Menzel C, Ullmann R, Schulz MH, Erdogan F, Li N, Kijas Z, Arkesteijn G, Pajares IL, Goetz-Sothmann M, Heinrich U, Rost I, Dufke A, ... ... Vingron M, et al. Mapping translocation breakpoints by next-generation sequencing. Genome Research. 18: 1143-9. PMID 18326688 DOI: 10.1101/Gr.076166.108 |
0.329 |
|
| 2008 |
Lee HJ, Manke T, Bringas R, Vingron M. Prioritization of gene regulatory interactions from large-scale modules in yeast. Bmc Bioinformatics. 9: 32. PMID 18211684 DOI: 10.1186/1471-2105-9-32 |
0.372 |
|
| 2008 |
Pape UJ, Rahmann S, Vingron M. Natural similarity measures between position frequency matrices with an application to clustering. Bioinformatics (Oxford, England). 24: 350-7. PMID 18174183 DOI: 10.1093/Bioinformatics/Btm610 |
0.353 |
|
| 2007 |
Klein H, Vingron M. Using transcription factor binding site co-occurrence to predict regulatory regions. Genome Informatics. International Conference On Genome Informatics. 18: 109-18. PMID 18546479 DOI: 10.11234/Gi1990.18.109 |
0.348 |
|
| 2007 |
Bais AS, Grossmann S, Vingron M. Incorporating evolution of transcription factor binding sites into annotated alignments. Journal of Biosciences. 32: 841-850. PMID 17914226 DOI: 10.1007/S12038-007-0084-2 |
0.4 |
|
| 2007 |
Grossmann S, Bauer S, Robinson PN, Vingron M. Improved detection of overrepresentation of Gene-Ontology annotations with parent–child analysis Bioinformatics. 23: 3024-3031. PMID 17848398 DOI: 10.1093/Bioinformatics/Btm440 |
0.328 |
|
| 2007 |
Messer PW, Bundschuh R, Vingron M, Arndt PF. Effects of long-range correlations in DNA on sequence alignment score statistics. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 14: 655-68. PMID 17683266 DOI: 10.1089/Cmb.2007.R008 |
0.344 |
|
| 2007 |
Bais AS, Grossmann S, Vingron M. Simultaneous alignment and annotation of cis-regulatory regions Bioinformatics. 23: 44-49. PMID 17237103 DOI: 10.1093/Bioinformatics/Btl305 |
0.372 |
|
| 2007 |
Dieterich C, Franz MW, Vingron M. Developments in CORG: a gene-centric comparative genomics resource Nucleic Acids Research. 35: 32-35. PMID 17135197 DOI: 10.1093/Nar/Gkl977 |
0.401 |
|
| 2007 |
Roider HG, Kanhere A, Manke T, Vingron M. Predicting transcription factor affinities to DNA from a biophysical model Bioinformatics. 23: 134-141. PMID 17098775 DOI: 10.1093/Bioinformatics/Btl565 |
0.375 |
|
| 2006 |
Staub E, Mackowiak S, Vingron M. An inventory of yeast proteins associated with nucleolar and ribosomal components Genome Biology. 7: 1-21. PMID 17067374 DOI: 10.1186/Gb-2006-7-10-R98 |
0.314 |
|
| 2006 |
Dohm JC, Vingron M, Staub E. Horizontal gene transfer in aminoacyl-tRNA synthetases including leucine-specific subtypes Journal of Molecular Evolution. 63: 437-447. PMID 16955236 DOI: 10.1007/S00239-005-0094-3 |
0.323 |
|
| 2006 |
Dieterich C, Vingron M. Comparative Promoter Analysis in Vertebrate Genomes With the CORG Workbench Methods of Molecular Biology. 338: 105-118. PMID 16888353 DOI: 10.1385/1-59745-097-9:105 |
0.405 |
|
| 2006 |
Steinhoff C, Vingron M. Normalization and quantification of differential expression in gene expression microarrays Briefings in Bioinformatics. 7: 166-177. PMID 16772260 DOI: 10.1093/Bib/Bbl002 |
0.348 |
|
| 2006 |
Roepcke S, Zhi D, Vingron M, Arndt PF. Identification of highly specific localized sequence motifs in human ribosomal protein gene promoters. Gene. 365: 48-56. PMID 16343812 DOI: 10.1016/J.Gene.2005.09.033 |
0.428 |
|
| 2006 |
Luz H, Staub E, Vingron M. About the interrelation of evolutionary rate and protein age Genome Informatics. 17: 240-250. DOI: 10.11234/Gi1990.17.240 |
0.318 |
|
| 2006 |
Pape UJ, Grossmann S, Hammer S, Sperling S, Vingron M. A new statistical model to select target sequences bound by transcription factors. Genome Informatics. 17: 134-140. DOI: 10.11234/Gi1990.17.134 |
0.391 |
|
| 2005 |
Irlbacher H, Franke J, Manke T, Vingron M, Ehrenhofer-Murray AE. Control of replication initiation and heterochromatin formation in Saccharomyces cerevisiae by a regulator of meiotic gene expression. Genes & Development. 19: 1811-22. PMID 16077008 DOI: 10.1101/Gad.334805 |
0.384 |
|
| 2005 |
Roepcke S, Fiziev P, Seeburg PH, Vingron M. SVC: structured visualization of evolutionary sequence conservation. Nucleic Acids Research. 33: W271-3. PMID 15991338 DOI: 10.1093/Nar/Gki589 |
0.41 |
|
| 2005 |
Gupta S, Vingron M, Haas SA. T-STAG: Resource and web-interface for tissue-specific transcripts and genes Nucleic Acids Research. 33. PMID 15980556 DOI: 10.1093/Nar/Gki350 |
0.349 |
|
| 2005 |
Roepcke S, Grossmann S, Rahmann S, Vingron M. T-Reg Comparator: an analysis tool for the comparison of position weight matrices Nucleic Acids Research. 33: 438-441. PMID 15980506 DOI: 10.1093/Nar/Gki590 |
0.338 |
|
| 2005 |
Schmid M, Davison TS, Henz SR, Pape UJ, Demar M, Vingron M, Schölkopf B, Weigel D, Lohmann JU. A gene expression map of Arabidopsis thaliana development. Nature Genetics. 37: 501-6. PMID 15806101 DOI: 10.1038/Ng1543 |
0.36 |
|
| 2005 |
Dieterich C, Grossmann S, Tanzer A, Röpcke S, Arndt PF, Stadler PF, Vingron M. Comparative promoter region analysis powered by CORG. Bmc Genomics. 6: 24. PMID 15723697 DOI: 10.1186/1471-2164-6-24 |
0.35 |
|
| 2005 |
Krause A, Stoye J, Vingron M. Large scale hierarchical clustering of protein sequences. Bmc Bioinformatics. 6: 15. PMID 15663796 DOI: 10.1186/1471-2105-6-15 |
0.356 |
|
| 2005 |
Michael M, Dieterich C, Vingron M. SITEBLAST--rapid and sensitive local alignment of genomic sequences employing motif anchors Bioinformatics. 21: 2093-2094. PMID 15598827 DOI: 10.1093/Bioinformatics/Bti224 |
0.383 |
|
| 2005 |
Dyczkowski J, Vingron M. Comparative analysis of cell cycle regulated genes in eukaryotes. Genome Informatics. 16: 125-131. DOI: 10.11234/Gi1990.16.125 |
0.314 |
|
| 2004 |
Philippar U, Schratt G, Dieterich C, Müller JM, Galgóczy P, Engel FB, Keating MT, Gertler F, Schüle R, Vingron M, Nordheim A. The SRF target gene Fhl2 antagonizes RhoA/MAL-dependent activation of SRF. Molecular Cell. 16: 867-80. PMID 15610731 DOI: 10.1016/J.Molcel.2004.11.039 |
0.354 |
|
| 2004 |
Meinel T, Krause A, Luz H, Vingron M, Staub E. The SYSTERS Protein Family Database in 2005 Nucleic Acids Research. 33: 226-229. PMID 15608183 DOI: 10.1093/Nar/Gki030 |
0.356 |
|
| 2004 |
Gupta S, Zink D, Korn B, Vingron M, Haas SA. Strengths and weaknesses of EST-based prediction of tissue-specific alternative splicing Bmc Genomics. 5. PMID 15453915 DOI: 10.1186/1471-2164-5-72 |
0.359 |
|
| 2004 |
Gupta S, Zink D, Korn B, Vingron M, Haas SA. Genome wide identification and classification of alternative splicing based on EST data Bioinformatics. 20: 2579-2585. PMID 15117759 DOI: 10.1093/Bioinformatics/Bth288 |
0.403 |
|
| 2004 |
Xue Y, Haas SA, Brino L, Gusnanto A, Reimers M, Talibi D, Vingron M, Ekwall K, Wright AP. A DNA microarray for fission yeast: minimal changes in global gene expression after temperature shift. Yeast (Chichester, England). 21: 25-39. PMID 14745780 DOI: 10.1002/Yea.1053 |
0.381 |
|
| 2003 |
Rahmann S, Müller T, Vingron M. On the power of profiles for transcription factor binding site detection. Statistical Applications in Genetics and Molecular Biology. 2: Article7. PMID 16646785 DOI: 10.2202/1544-6115.1032 |
0.386 |
|
| 2003 |
Hild M, Beckmann B, Haas SA, Koch B, Solovyev V, Busold C, Fellenberg K, Boutros M, Vingron M, Sauer F, Hoheisel JD, Paro R. An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome. Genome Biology. 5: R3. PMID 14709175 DOI: 10.1186/Gb-2003-5-1-R3 |
0.421 |
|
| 2003 |
Beissbarth T, Borisevich I, Hörlein A, Kenzelmann M, Hergenhahn M, Klewe-Nebenius A, Klären R, Korn B, Schmid W, Vingron M, Schütz G. Analysis of CREM-dependent gene expression during mouse spermatogenesis. Molecular and Cellular Endocrinology. 212: 29-39. PMID 14654248 DOI: 10.1016/J.Mce.2003.09.023 |
0.369 |
|
| 2003 |
Manke T, Bringas R, Vingron M. Correlating Protein–DNA and Protein–Protein Interaction Networks Journal of Molecular Biology. 333: 75-85. PMID 14516744 DOI: 10.1016/J.Jmb.2003.08.004 |
0.384 |
|
| 2003 |
Haas SA, Hild M, Wright AP, Hain T, Talibi D, Vingron M. Genome-scale design of PCR primers and long oligomers for DNA microarrays. Nucleic Acids Research. 31: 5576-81. PMID 14500820 DOI: 10.1093/Nar/Gkg752 |
0.375 |
|
| 2003 |
Panopoulou G, Hennig S, Groth D, Krause A, Poustka AJ, Herwig R, Vingron M, Lehrach H. New evidence for genome-wide duplications at the origin of vertebrates using an amphioxus gene set and completed animal genomes. Genome Research. 13: 1056-66. PMID 12799346 DOI: 10.1101/Gr.874803 |
0.38 |
|
| 2003 |
Dieterich C, Wang H, Rateitschak K, Luz H, Vingron M. CORG: a database for COmparative Regulatory Genomics Nucleic Acids Research. 31: 55-57. PMID 12519946 DOI: 10.1093/Nar/Gkg007 |
0.39 |
|
| 2003 |
Kaynak B, Heydebreck Av, Mebas S, Seelow D, Vogel J, Sperling H, Pregla R, Alexi-Meskishvili V, Hetzer R, Lange PE, Vingron M, Lehrach H, Sperling S. A genome-wide transcriptional fingerprint of normal and malformed human hearts Circulation. 107: 2467-2474. DOI: 10.1045/June2004-Harnad |
0.308 |
|
| 2003 |
Schwikowski B, Vingron M. Weighted sequence graphs: Boosting iterated dynamic programming using locally suboptimal solutions Discrete Applied Mathematics. 127: 95-117. DOI: 10.1016/S0166-218X(02)00288-3 |
0.345 |
|
| 2003 |
Markowetz F, Edler L, Vingron M. Support Vector Machines for Protein Fold Class Prediction Biometrical Journal. 45: 377-389. DOI: 10.1002/Bimj.200390019 |
0.335 |
|
| 2002 |
Brazma A, Sarkans U, Robinson A, Vilo J, Vingron M, Hoheisel J, Fellenberg K. Microarray data representation, annotation and storage. Advances in Biochemical Engineering/Biotechnology. 77: 113-39. PMID 12227734 DOI: 10.1007/3-540-45713-5_7 |
0.314 |
|
| 2002 |
Schmidt HA, Strimmer K, Vingron M, Haeseler Av. TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. Bioinformatics. 18: 502-504. PMID 11934758 DOI: 10.1093/Bioinformatics/18.3.502 |
0.304 |
|
| 2002 |
Fellenberg K, Hauser NC, Brors B, Hoheisel JD, Vingron M. Microarray data warehouse allowing for inclusion of experiment annotations in statistical analysis Bioinformatics. 18: 423-433. PMID 11934741 DOI: 10.1093/Bioinformatics/18.3.423 |
0.339 |
|
| 2002 |
Krause A, Haas SA, Coward E, Vingron M. SYSTERS, GeneNest, SpliceNest: Exploring sequence space from genome to protein Nucleic Acids Research. 30: 299-300. PMID 11752319 DOI: 10.1093/Nar/30.1.299 |
0.413 |
|
| 2002 |
Müller T, Spang R, Vingron M. Estimating amino acid substitution models: a comparison of Dayhoff's estimator, the resolvent approach and a maximum likelihood method. Molecular Biology and Evolution. 19: 8-13. PMID 11752185 DOI: 10.1093/Oxfordjournals.Molbev.A003985 |
0.333 |
|
| 2002 |
Scheideler M, Schlaich NL, Fellenberg K, Beissbarth T, Hauser NC, Vingron M, Slusarenko AJ, Hoheisel JD. Monitoring the Switch from Housekeeping to Pathogen Defense Metabolism in Arabidopsis thaliana Using cDNA Arrays Journal of Biological Chemistry. 277: 10555-10561. PMID 11748215 DOI: 10.1074/Jbc.M104863200 |
0.312 |
|
| 2002 |
Beckers J, Hoheisel J, Mewes W, Vingron M, Angelis MHd. Molecular Phenotyping of Mouse Mutant Resources by RNA Expression Profiling Current Genomics. 3: 121-129. DOI: 10.2174/1389202023350453 |
0.368 |
|
| 2002 |
Coward E, Haas SA, Vingron M. SpliceNest: visualizing gene structure and alternative splicing based on EST clusters Trends in Genetics. 18: 53-55. DOI: 10.1016/S0168-9525(01)02525-2 |
0.427 |
|
| 2001 |
Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Causton HC, Gaasterland T, Glenisson P, Holstege FC, Kim IF, Markowitz V, ... ... Vingron M, et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics. 29: 365-71. PMID 11726920 DOI: 10.1038/Ng1201-365 |
0.343 |
|
| 2001 |
Heydebreck Av, Huber W, Poustka A, Vingron M. Identifying splits with clear separation: a new class discovery method for gene expression data. Bioinformatics. 17: 107-114. PMID 11472999 DOI: 10.1093/Bioinformatics/17.Suppl_1.S107 |
0.345 |
|
| 2001 |
Prum B, Turckheim Éd, Vingron M. Statistical tools for discovering pseudo-periodicities in biological sequences Esaim: Probability and Statistics. 5: 171-181. DOI: 10.1051/Ps:2001107 |
0.365 |
|
| 2000 |
Haas SA, Beissbarth T, Rivals E, Krause A, Vingron M. GeneNest: Automated generation and visualization of gene indices Trends in Genetics. 16: 521-523. PMID 12199289 DOI: 10.1016/S0168-9525(00)02116-8 |
0.32 |
|
| 2000 |
Beißbarth T, Fellenberg K, Brors B, Arribas-Prat R, Boer JM, Hauser NC, Scheideler M, Hoheisel JD, Schütz G, Poustka A, Vingron M. Processing and quality control of DNA array hybridization data. Bioinformatics. 16: 1014-1022. PMID 11159313 DOI: 10.1093/Bioinformatics/16.11.1014 |
0.334 |
|
| 2000 |
Heber S, Stoye J, Frohme M, Hoheisel J, Vingron M. Contig selection in physical mapping Journal of Computational Biology. 7: 395-408. PMID 11108470 DOI: 10.1089/106652700750050853 |
0.663 |
|
| 2000 |
Heber S, Hoheisel J, Vingron M. Application of bootstrap techniques to physical mapping. Genomics. 69: 235-241. PMID 11031106 DOI: 10.1006/Geno.2000.6325 |
0.679 |
|
| 2000 |
Pollet N, Schmidt HA, Gawantka V, Vingron M, Niehrs C. Axeldb: a Xenopus laevis database focusing on gene expression. Nucleic Acids Research. 28: 139-40. PMID 10592204 DOI: 10.1093/Nar/28.1.139 |
0.381 |
|
| 2000 |
Kececioglu JD, Lenhof H, Mehlhorn K, Mutzel P, Reinert K, Vingron M. A polyhedral approach to sequence alignment problems Discrete Applied Mathematics. 104: 143-186. DOI: 10.1016/S0166-218X(00)00194-3 |
0.324 |
|
| 1999 |
Krause A, Nicodème P, Bornberg-Bauer E, Rehmsmeier M, Vingron M. WWW access to the SYSTERS protein sequence cluster set. Bioinformatics (Oxford, England). 15: 262-3. PMID 10222416 DOI: 10.1093/bioinformatics/15.3.262 |
0.532 |
|
| 1999 |
Vingron M, Hoheisel J. Computational aspects of expression data. Journal of Molecular Medicine. 77: 3-7. PMID 9930920 DOI: 10.1007/S001090050290 |
0.315 |
|
| 1998 |
Gawantka V, Pollet N, Delius H, Vingron M, Pfister R, Nitsch R, Blumenstock C, Niehrs C. Gene expression screening in Xenopus identifies molecular pathways, predicts gene function and provides a global view of embryonic patterning. Mechanisms of Development. 77: 95-141. PMID 9831640 DOI: 10.1016/S0925-4773(98)00115-4 |
0.37 |
|
| 1998 |
Hauser NC, Vingron M, Scheideler M, Krems B, Hellmuth K, Entian KD, Hoheisel JD. Transcriptional profiling on all open reading frames of Saccharomyces cerevisiae. Yeast. 14: 1209-1221. PMID 9791892 DOI: 10.1002/(Sici)1097-0061(19980930)14:13<1209::Aid-Yea311>3.0.Co;2-N |
0.354 |
|
| 1998 |
Lenhof H, Reinert K, Vingron M. A Polyhedral Approach to RNA Sequence Structure Alignment Journal of Computational Biology. 5: 517-530. PMID 9773347 DOI: 10.1089/Cmb.1998.5.517 |
0.314 |
|
| 1998 |
Haas S, Vingron M, Poustka A, Wiemann S. Primer design for large scale sequencing Nucleic Acids Research. 26: 3006-3012. PMID 9611248 DOI: 10.1093/Nar/26.12.3006 |
0.353 |
|
| 1998 |
Bornberg-Bauer E, Rivals E, Vingron M. Computational approaches to identify leucine zippers. Nucleic Acids Research. 26: 2740-6. PMID 9592163 DOI: 10.1093/Nar/26.11.2740 |
0.591 |
|
| 1998 |
Eulenstein O, Vingron M. On the equivalence of two tree mapping measures Discrete Applied Mathematics. 88: 103-128. DOI: 10.1016/S0166-218X(98)00068-7 |
0.324 |
|
| 1997 |
Dear N, Matena K, Vingron M, Boehm T. A new subfamily of vertebrate calpains lacking a calmodulin-like domain: implications for calpain regulation and evolution. Genomics. 45: 175-184. PMID 9339374 DOI: 10.1006/Geno.1997.4870 |
0.35 |
|
| 1997 |
Vingron M, Haeseler AV. Towards Integration of Multiple Alignment and Phylogenetic Tree Construction Journal of Computational Biology. 4: 23-34. PMID 9109035 DOI: 10.1089/Cmb.1997.4.23 |
0.353 |
|
| 1997 |
Krause A, Vingron M. A New Method for Database Searching and Clustering Genome Informatics. 8: 90-99. DOI: 10.11234/Gi1990.8.90 |
0.312 |
|
| 1996 |
Mevissen HT, Vingron M. Quantifying the local reliability of a sequence alignment Protein Engineering. 9: 127-132. PMID 9005433 DOI: 10.1093/Protein/9.2.127 |
0.348 |
|
| 1996 |
Vingron M. Near-optimal sequence alignment Current Opinion in Structural Biology. 6: 346-352. PMID 8804820 DOI: 10.1016/S0959-440X(96)80054-6 |
0.338 |
|
| 1995 |
Vingron M, Pevzner PA. Multiple Sequence Comparison and Consistency on Multipartite Graphs Advances in Applied Mathematics. 16: 1-22. DOI: 10.1006/Aama.1995.1001 |
0.548 |
|
| 1994 |
Vingron M, Waterman MS. Sequence alignment and penalty choice. Review of concepts, case studies and implications. Journal of Molecular Biology. 235: 1-12. PMID 8289235 DOI: 10.1016/S0022-2836(05)80006-3 |
0.351 |
|
| 1994 |
Waterman MS, Vingron M. Rapid and accurate estimates of statistical significance for sequence data base searches. Proceedings of the National Academy of Sciences of the United States of America. 91: 4625-4628. PMID 8197109 DOI: 10.1073/Pnas.91.11.4625 |
0.354 |
|
| 1994 |
Waterman MS, Vingron M. Sequence Comparison Significance and Poisson Approximation Statistical Science. 9: 367-381. DOI: 10.1214/Ss/1177010382 |
0.35 |
|
| 1993 |
Vingron M, Sibbald PR. Weighting in sequence space: a comparison of methods in terms of generalized sequences Proceedings of the National Academy of Sciences of the United States of America. 90: 8777-8781. PMID 8415606 DOI: 10.1073/Pnas.90.19.8777 |
0.337 |
|
| 1992 |
Palme K, Diefenthal T, Vingron M, Sander C, Schell J. Molecular cloning and structural analysis of genes from Zea mays (L.) coding for members of the ras-related ypt gene family. Proceedings of the National Academy of Sciences of the United States of America. 89: 787-791. PMID 1731354 DOI: 10.1073/Pnas.89.2.787 |
0.336 |
|
| 1991 |
Vingron M, Argos P. Motif recognition and alignment for many sequences by comparison of dot-matrices. Journal of Molecular Biology. 218: 33-43. PMID 1900535 DOI: 10.1016/0022-2836(91)90871-3 |
0.373 |
|
| 1991 |
Argos P, Vingron M, Vogt G. Protein sequence comparison: methods and significance. Protein Engineering. 4: 375-383. PMID 1881864 DOI: 10.1093/Protein/4.4.375 |
0.332 |
|
| 1990 |
Argos P, Vingron M. Sensitivity comparison of protein amino acid sequences. Methods in Enzymology. 183: 352-365. PMID 2314282 DOI: 10.1016/0076-6879(90)83023-3 |
0.36 |
|
| 1990 |
Vingron M, Argos P. Determination of reliable regions in protein sequence alignments. Protein Engineering. 3: 565-569. PMID 2217130 DOI: 10.1093/Protein/3.7.565 |
0.351 |
|
| 1989 |
Vingron M, Argos P. A fast and sensitive multiple sequence alignment algorithm Bioinformatics. 5: 115-121. PMID 2720461 DOI: 10.1093/Bioinformatics/5.2.115 |
0.359 |
|
| 1989 |
Rechid R, Vingron M, Argos P. A new interactive protein sequence alignment program and comparison of its results with widely used algorithms Bioinformatics. 5: 107-113. PMID 2720460 DOI: 10.1093/Bioinformatics/5.2.107 |
0.334 |
|
| 1989 |
Fabry S, Lang J, Niermann T, Vingron M, Hensel R. Nucleotide sequence of the glyceraldehyde-3-phosphate dehydrogenase gene from the mesophilic methanogenic archaebacteria Methanobacterium bryantii and Methanobacterium formicicum. Comparison with the respective gene structure of the closely related extreme thermophile Methanothermus fervidus. Febs Journal. 179: 405-413. PMID 2492940 DOI: 10.1111/J.1432-1033.1989.Tb14568.X |
0.352 |
|
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