Year |
Citation |
Score |
2020 |
Thrash A, Hoffmann F, Perkins A. Toward a more holistic method of genome assembly assessment. Bmc Bioinformatics. 21: 249. PMID 32631298 DOI: 10.1186/S12859-020-3382-4 |
0.352 |
|
2020 |
Ranathunge C, Wheeler GL, Chimahusky ME, Perkins AD, Pramod S, Welch ME. Transcribed microsatellite allele lengths are often correlated with gene expression in natural sunflower populations. Molecular Ecology. PMID 32285554 DOI: 10.1111/Mec.15440 |
0.314 |
|
2020 |
Scott MA, Woolums AR, Swiderski CE, Perkins AD, Nanduri B, Smith DR, Karisch BB, Epperson WB, Blanton JR. Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease. Plos One. 15: e0227507. PMID 31929561 DOI: 10.1371/Journal.Pone.0227507 |
0.308 |
|
2018 |
Ranathunge C, Wheeler GL, Chimahusky ME, Kennedy MM, Morrison JI, Baldwin BS, Perkins AD, Welch ME. Transcriptome profiles of sunflower reveal the potential role of microsatellites in gene expression divergence. Molecular Ecology. PMID 29419922 DOI: 10.1111/Mec.14522 |
0.301 |
|
2015 |
Tang JD, Perkins A, Williams WP, Warburton ML. Using genome-wide associations to identify metabolic pathways involved in maize aflatoxin accumulation resistance. Bmc Genomics. 16: 673. PMID 26334534 DOI: 10.1186/S12864-015-1874-9 |
0.309 |
|
2015 |
Warburton ML, Tang JD, Windham GL, Hawkins LK, Murray SC, Xu W, Boykin D, Perkins A, Williams WP. Genome-wide association mapping of aspergillus flavus and aflatoxin accumulation resistance in maize Crop Science. 55: 1857-1867. DOI: 10.2135/Cropsci2014.06.0424 |
0.374 |
|
2015 |
Rice J, Dees K, Perkins A, Thrash A. Investigating genome similarity through cross mapping percentage Bcb 2015 - 6th Acm Conference On Bioinformatics, Computational Biology, and Health Informatics. 543-544. DOI: 10.1145/2808719.2811456 |
0.312 |
|
2014 |
Pramod S, Perkins AD, Welch ME. Patterns of microsatellite evolution inferred from the Helianthus annuus (Asteraceae) transcriptome. Journal of Genetics. 93: 431-42. PMID 25189238 DOI: 10.1007/S12041-014-0402-Z |
0.339 |
|
2014 |
Asters MC, Williams WP, Perkins AD, Mylroie JE, Windham GL, Shan X. Relating significance and relations of differentially expressed genes in response to Aspergillus flavus infection in maize. Scientific Reports. 4: 4815. PMID 24770700 DOI: 10.1038/Srep04815 |
0.361 |
|
2013 |
Tang JD, Parker LA, Perkins AD, Sonstegard TS, Schroeder SG, Nicholas DD, Diehl SV. Gene expression analysis of copper tolerance and wood decay in the brown rot fungus Fibroporia radiculosa. Applied and Environmental Microbiology. 79: 1523-33. PMID 23263965 DOI: 10.1128/Aem.02916-12 |
0.304 |
|
2013 |
Aldwairi T, Nanduri B, Ramkumar M, Gautam D, Johnson M, Perkins A. Statistical methods for ambiguous sequence mappings 2013 Acm Conference On Bioinformatics, Computational Biology and Biomedical Informatics, Acm-Bcb 2013. 674-675. DOI: 10.1145/2506583.2506678 |
0.46 |
|
2012 |
Pirim H, Ekşioğlu B, Perkins A, Yüceer C. Clustering of High Throughput Gene Expression Data. Computers & Operations Research. 39: 3046-3061. PMID 23144527 DOI: 10.1016/J.Cor.2012.03.008 |
0.319 |
|
2012 |
Jay JJ, Eblen JD, Zhang Y, Benson M, Perkins AD, Saxton AM, Voy BH, Chesler EJ, Langston MA. A systematic comparison of genome-scale clustering algorithms. Bmc Bioinformatics. 13: S7. PMID 22759431 DOI: 10.1186/1471-2105-13-S10-S7 |
0.303 |
|
2012 |
Tang JD, Perkins AD, Sonstegard TS, Schroeder SG, Burgess SC, Diehl SV. Short-read sequencing for genomic analysis of the brown rot fungus Fibroporia radiculosa. Applied and Environmental Microbiology. 78: 2272-81. PMID 22247176 DOI: 10.1128/Aem.06745-11 |
0.368 |
|
2009 |
Perkins AD, Langston MA. Threshold selection in gene co-expression networks using spectral graph theory techniques. Bmc Bioinformatics. 10: S4. PMID 19811688 DOI: 10.1186/1471-2105-10-S11-S4 |
0.336 |
|
2009 |
Malone BM, Perkins AD, Bridges SM. Integrating phenotype and gene expression data for predicting gene function. Bmc Bioinformatics. 10: S20. PMID 19811686 DOI: 10.1186/1471-2105-10-S11-S20 |
0.325 |
|
2007 |
Gatti D, Maki A, Chesler EJ, Kirova R, Kosyk O, Lu L, Manly KF, Williams RW, Perkins A, Langston MA, Threadgill DW, Rusyn I. Genome-level analysis of genetic regulation of liver gene expression networks. Hepatology (Baltimore, Md.). 46: 548-57. PMID 17542012 DOI: 10.1002/Hep.21682 |
0.348 |
|
2007 |
Langston MA, Perkins AD, Saxton AM, Scharff JA, Voy BH. Innovative Computational Methods for Transcriptomic Data Analysis: A Case Study in the Use of FPT for Practical Algorithm Design and Implementation The Computer Journal. 51: 26-38. DOI: 10.1093/Comjnl/Bxm003 |
0.311 |
|
2006 |
Voy BH, Scharff JA, Perkins AD, Saxton AM, Borate B, Chesler EJ, Branstetter LK, Langston MA. Extracting gene networks for low-dose radiation using graph theoretical algorithms. Plos Computational Biology. 2: e89. PMID 16854212 DOI: 10.1371/Journal.Pcbi.0020089 |
0.314 |
|
Low-probability matches (unlikely to be authored by this person) |
2015 |
Pirim H, Ek?io?lu B, Perkins AD. Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic. Computers in Biology and Medicine. 62: 94-102. PMID 25912991 DOI: 10.1016/J.Compbiomed.2015.03.031 |
0.299 |
|
2009 |
Mobini R, Andersson BA, Erjefält J, Hahn-Zoric M, Langston MA, Perkins AD, Cardell LO, Benson M. A module-based analytical strategy to identify novel disease-associated genes shows an inhibitory role for interleukin 7 Receptor in allergic inflammation. Bmc Systems Biology. 3: 19. PMID 19216740 DOI: 10.1186/1752-0509-3-19 |
0.297 |
|
2019 |
Tekedar HC, Kumru S, Blom J, Perkins AD, Griffin MJ, Abdelhamed H, Karsi A, Lawrence ML. Comparative genomics of Aeromonas veronii: Identification of a pathotype impacting aquaculture globally. Plos One. 14: e0221018. PMID 31465454 DOI: 10.1371/Journal.Pone.0221018 |
0.273 |
|
2012 |
Govindaraju A, Uzun A, Robertson L, Atli MO, Kaya A, Topper E, Crate EA, Padbury J, Perkins A, Memili E. Dynamics of microRNAs in bull spermatozoa. Reproductive Biology and Endocrinology : Rb&E. 10: 82. PMID 22978562 DOI: 10.1186/1477-7827-10-82 |
0.264 |
|
2014 |
Wren JD, Dozmorov MG, Burian D, Perkins A, Zhang C, Hoyt P, Kaundal R. Proceedings of the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. Bmc Bioinformatics. 15: I1. PMID 25350879 DOI: 10.1186/1471-2105-15-S11-I1 |
0.264 |
|
2008 |
Barrenäs F, Andersson B, Cardell LO, Langston M, Mobini R, Perkins A, Soini J, Ståhl A, Benson M. Gender differences in inflammatory proteins and pathways in seasonal allergic rhinitis. Cytokine. 42: 325-329. PMID 18440239 DOI: 10.1016/J.Cyto.2008.03.004 |
0.26 |
|
2015 |
Grant KE, de Oliveira RV, Hennington BS, Govindaraju A, Perkins A, Stokes J, Rowe D, Topper E, Kaya A, Moura A, Memili E. Sperm superoxide dismutase is associated with bull fertility. Reproduction, Fertility, and Development. PMID 25896743 DOI: 10.1071/Rd14399 |
0.246 |
|
2008 |
Mobini R, Andersson B, Cardell L, Egan B, Hahn-Zoric M, Langston M, Oancea I, Perkins A, Soini J, Rak S, Benson M. IRF4 upregulates pro-inflammatory genes and downregulates anti-inflammatory genes in seasonal allergic rhinitis Allergy. 63: 16-16. DOI: 10.1111/J.1398-9995.2008.01758.X |
0.243 |
|
2019 |
Abdelhamed H, Ozdemir O, Waldbieser G, Perkins AD, Lawrence ML, Karsi A. Effects of florfenicol feeding on diversity and composition of the intestinal microbiota of channel catfish (
Ictalurus punctatus
) Aquaculture Research. 50: 3663-3672. DOI: 10.1111/Are.14325 |
0.237 |
|
2011 |
Pirim H, Gautam D, Bhowmik T, Perkins AD, Ekşioglu B, Alkan A. Performance of an Ensemble Clustering Algorithm on Biological Data Sets Mathematical & Computational Applications. 16: 87-96. DOI: 10.3390/Mca16010087 |
0.234 |
|
2017 |
Kutchy NA, Menezes ESB, Chiappetta A, Tan W, Wills RW, Kaya A, Topper E, Moura AA, Perkins AD, Memili E. Acetylation and methylation of sperm histone 3 lysine 27 (H3K27ac and H3K27me3) are associated with bull fertility. Andrologia. PMID 29057498 DOI: 10.1111/And.12915 |
0.232 |
|
2021 |
Scott MA, Woolums AR, Swiderski CE, Perkins AD, Nanduri B. Genes and regulatory mechanisms associated with experimentally-induced bovine respiratory disease identified using supervised machine learning methodology. Scientific Reports. 11: 22916. PMID 34824337 DOI: 10.1038/s41598-021-02343-7 |
0.231 |
|
2015 |
Huang X, Jennings SF, Bruce B, Buchan A, Cai L, Chen P, Cramer CL, Guan W, Hilgert UK, Jiang H, Li Z, McClure G, McMullen DF, Nanduri B, Perkins A, et al. Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. Biodata Mining. 8: 7. PMID 25670967 DOI: 10.1186/S13040-015-0037-5 |
0.228 |
|
2021 |
Aldwairi T, Chevalier DJ, Perkins AD. Exploring the Effect of Climate Factors on SNPs within FHA Domain Genes in Eurasian Arabidopsis Ecotypes Agriculture. 11: 166. DOI: 10.3390/AGRICULTURE11020166 |
0.226 |
|
2013 |
Huang X, Bruce B, Buchan A, Congdon CB, Cramer CL, Jennings SF, Jiang H, Li Z, McClure G, McMullen R, Moore JH, Nanduri B, Peckham J, Perkins A, Polson SW, et al. No-boundary thinking in bioinformatics research. Biodata Mining. 6: 19. PMID 24192339 DOI: 10.1186/1756-0381-6-19 |
0.225 |
|
2017 |
Kutchy NA, Velho A, Menezes ESB, Jacobsen M, Thibaudeau G, Wills RW, Moura A, Kaya A, Perkins A, Memili E. Testis specific histone 2B is associated with sperm chromatin dynamics and bull fertility-a pilot study. Reproductive Biology and Endocrinology : Rb&E. 15: 59. PMID 28764714 DOI: 10.1186/S12958-017-0274-1 |
0.218 |
|
2015 |
Uzbas F, May ID, Parisi AM, Thompson SK, Kaya A, Perkins AD, Memili E. Molecular physiognomies and applications of adipose-derived stem cells. Stem Cell Reviews. 11: 298-308. PMID 25504377 DOI: 10.1007/S12015-014-9578-0 |
0.214 |
|
2015 |
Mack S, Bright LA, Hunter CL, Arrick MA, Kumar S, Perkins A, Eddy A, Claude A, Mujahid N, Brashier M, Nanduri B, Burgess SC, Swiderski CE. 1 The “pasture heaves” restricted lung transcriptome: A tool to decipher the pathophysiology of airway hyper-responsive diseases in the horse Journal of Equine Veterinary Science. 35: 383. DOI: 10.1016/J.Jevs.2015.03.008 |
0.21 |
|
2013 |
Wren JD, Dozmorov MG, Burian D, Kaundal R, Perkins A, Perkins E, Kupfer DM, Springer GK. Proceedings of the 2013 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference Bmc Bioinformatics. 14. PMID 24267415 DOI: 10.1186/1471-2105-14-S14-S1 |
0.209 |
|
2022 |
Scott MA, Woolums AR, Swiderski CE, Finley A, Perkins AD, Nanduri B, Karisch BB. Hematological and gene co-expression network analyses of high-risk beef cattle defines immunological mechanisms and biological complexes involved in bovine respiratory disease and weight gain. Plos One. 17: e0277033. PMID 36327246 DOI: 10.1371/journal.pone.0277033 |
0.203 |
|
2021 |
Scott MA, Woolums AR, Swiderski CE, Perkins AD, Nanduri B, Smith DR, Karisch BB, Epperson WB, Blanton JR. Multipopulational transcriptome analysis of post-weaned beef cattle at arrival further validates candidate biomarkers for predicting clinical bovine respiratory disease. Scientific Reports. 11: 23877. PMID 34903778 DOI: 10.1038/s41598-021-03355-z |
0.196 |
|
2021 |
Ranathunge C, Pramod S, Renaut S, Wheeler GL, Perkins AD, Rieseberg LH, Welch ME. Microsatellites as Agents of Adaptive Change: An RNA-Seq-Based Comparative Study of Transcriptomes from Five Helianthus Species Symmetry. 13: 933. DOI: 10.3390/sym13060933 |
0.177 |
|
2022 |
Scott MA, Woolums AR, Swiderski CE, Thompson AC, Perkins AD, Nanduri B, Karisch BB, Goehl DR. Use of nCounter mRNA profiling to identify at-arrival gene expression patterns for predicting bovine respiratory disease in beef cattle. Bmc Veterinary Research. 18: 77. PMID 35197051 DOI: 10.1186/s12917-022-03178-8 |
0.159 |
|
2021 |
Scott MA, Woolums AR, Swiderski CE, Perkins AD, Nanduri B, Smith DR, Karisch BB, Epperson WB, Blanton JR. Comprehensive at-arrival transcriptomic analysis of post-weaned beef cattle uncovers type I interferon and antiviral mechanisms associated with bovine respiratory disease mortality. Plos One. 16: e0250758. PMID 33901263 DOI: 10.1371/journal.pone.0250758 |
0.157 |
|
2006 |
Fadiel A, Langsten MA, Peng X, Perkins AD, Taylor HS, Tuncalp O, Vitello D, Pevsner P, Naftolin F. Computational analysis of mass spectrometry data using novel combinatorial methods Ieee International Conference On Computer Systems and Applications, 2006. 2006: 266-273. |
0.147 |
|
2011 |
Jay JJ, Eblen JD, Zhang Y, Benson M, Perkins AD, Saxton AM, Voy BH, Chesler EJ, Langston MA. A systematic comparison of genome scale clustering algorithms (extended abstract) Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6674: 416-427. DOI: 10.1007/978-3-642-21260-4_39 |
0.122 |
|
2014 |
Perkins AD, Lee MJ, Tanentzapf G. The systematic identification of cytoskeletal genes required for Drosophila melanogaster muscle maintenance. Scientific Data. 1: 140002. PMID 25977760 DOI: 10.1038/sdata.2014.2 |
0.122 |
|
2011 |
Pirim H, Gautam D, Bhowmik T, Perkins AD, Ekşioglu B, Alkan A. Performance of an ensemble clustering algorithm on biological data sets Mathematical and Computational Applications. 16: 87-96. |
0.103 |
|
2010 |
Pirim H, Gautam D, Bhowmik T, Perkins AD, Eksioglu B. Performance evaluation of a community structure finding algorithm using modularity and C-rand measures Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2010.5596962 |
0.084 |
|
2011 |
Grant K, Kaya A, Perkins A, Hennington BS, Memili E. Computational Analysis and Assesment of Potential Reproductive Fertiltiy Markers Beta-Tubulin 2C and Heat Shock Protein 10. Biology of Reproduction. 85: 533-533. DOI: 10.1093/biolreprod/85.s1.533 |
0.081 |
|
2021 |
Obafemi-Ajayi T, Perkins A, Nanduri B, Wunsch Ii DC, Foster JA, Peckham J. No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. Ai and Ethics. 1-9. PMID 34870283 DOI: 10.1007/s43681-021-00118-4 |
0.067 |
|
2014 |
Perkins AD, Tanentzapf G. An ongoing role for structural sarcomeric components in maintaining Drosophila melanogaster muscle function and structure. Plos One. 9: e99362. PMID 24915196 DOI: 10.1371/journal.pone.0099362 |
0.061 |
|
2016 |
Moore JH, Jennings SF, Greene CS, Hunter LE, Perkins AD, Williams-Devane C, Wunsch DC, Zhao Z, Huang X. NO-BOUNDARY THINKING IN BIOINFORMATICS. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 646-648. PMID 27897015 |
0.05 |
|
2023 |
Holloway K, Buhociu M, Murray S, Livingston W, Perkins A. Assessing the early influence of COVID-19 in an analysis of the immediate implementation of Minimum Pricing for Alcohol on drinkers in Wales. Nordisk Alkohol- & Narkotikatidskrift : Nat. 41: 57-74. PMID 38356791 DOI: 10.1177/14550725231202066 |
0.04 |
|
2010 |
Yuan L, Fairchild MJ, Perkins AD, Tanentzapf G. Analysis of integrin turnover in fly myotendinous junctions. Journal of Cell Science. 123: 939-46. PMID 20179102 DOI: 10.1242/jcs.063040 |
0.037 |
|
2010 |
Perkins AD, Ellis SJ, Asghari P, Shamsian A, Moore ED, Tanentzapf G. Integrin-mediated adhesion maintains sarcomeric integrity. Developmental Biology. 338: 15-27. PMID 19879257 DOI: 10.1016/j.ydbio.2009.10.034 |
0.034 |
|
2015 |
Strube PD, Perkins AD. Combat Anesthesia: A Case Report of a Gunshot Wound and New Trauma Protocols. Aana Journal. 83: 247-53. PMID 26390742 |
0.029 |
|
2020 |
Livingston W, Holloway K, May T, Buhociu M, Madoc-Jones I, Perkins A. Adapting existing behaviour: Perceptions of substance switching and implementation of minimum pricing for alcohol in Wales. Nordisk Alkohol- & Narkotikatidskrift : Nat. 38: 22-34. PMID 35309092 DOI: 10.1177/1455072520972304 |
0.026 |
|
2022 |
Nicholls J, Livingston W, Perkins A, Cairns B, Foster R, Trayner KMA, Sumnall HR, Price T, Cairney P, Dumbrell J, Parkes T. Drug Consumption Rooms and Public Health Policy: Perspectives of Scottish Strategic Decision-Makers. International Journal of Environmental Research and Public Health. 19. PMID 35682161 DOI: 10.3390/ijerph19116575 |
0.022 |
|
2022 |
Parkes T, Price T, Foster R, Trayner KMA, Sumnall HR, Livingston W, Perkins A, Cairns B, Dumbrell J, Nicholls J. 'Why would we not want to keep everybody safe?' The views of family members of people who use drugs on the implementation of drug consumption rooms in Scotland. Harm Reduction Journal. 19: 99. PMID 36038919 DOI: 10.1186/s12954-022-00679-5 |
0.021 |
|
1989 |
Calabrese LH, Wilke WS, Perkins AD, Tubbs RR. Rheumatoid arthritis complicated by infection with the human immunodeficiency virus and the development of Sjögren's syndrome. Arthritis and Rheumatism. 32: 1453-7. PMID 2573359 |
0.017 |
|
2023 |
Hughes J, Livingston W, Buykx P, Johnston A, Little S, McCarthy T, McLean A, Perkins A, Wright A, Holmes J. Views on minimum unit pricing for alcohol before its introduction among people with alcohol dependence in Scotland: A qualitative interview study. Drug and Alcohol Review. PMID 37380168 DOI: 10.1111/dar.13704 |
0.014 |
|
2005 |
Perkins AD, Klahn J. Unexpected pain in a dog: aberration or worthy of a citation? Training opportunity missed. Lab Animal. 34: 17-8. PMID 16136066 DOI: 10.1038/laban0905-17b |
0.012 |
|
Hide low-probability matches. |