Year |
Citation |
Score |
2022 |
Fattel L, Psaroudakis D, Yanarella CF, Chiteri KO, Dostalik HA, Joshi P, Starr DC, Vu H, Wimalanathan K, Lawrence-Dill CJ. Standardized genome-wide function prediction enables comparative functional genomics: a new application area for Gene Ontologies in plants. Gigascience. 11. PMID 35426911 DOI: 10.1093/gigascience/giac023 |
0.8 |
|
2022 |
Lawrence-Dill CJ, Allscheid RL, Boaitey A, Bauman T, Buckler ES, Clarke JL, Cullis C, Dekkers J, Dorius CJ, Dorius SF, Ertl D, Homann M, Hu G, Losch M, Lyons E, et al. Ten simple rules to ruin a collaborative environment. Plos Computational Biology. 18: e1009957. PMID 35421080 DOI: 10.1371/journal.pcbi.1009957 |
0.456 |
|
2022 |
Tuggle CK, Clarke J, Dekkers JCM, Ertl D, Lawrence-Dill CJ, Lyons E, Murdoch BM, Scott NM, Schnable PS. The Agricultural Genome to Phenome Initiative (AG2PI): creating a shared vision across crop and livestock research communities. Genome Biology. 23: 3. PMID 34980221 DOI: 10.1186/s13059-021-02570-1 |
0.542 |
|
2021 |
Wimalanathan K, Lawrence-Dill CJ. Gene Ontology Meta Annotator for Plants (GOMAP). Plant Methods. 17: 54. PMID 34034755 DOI: 10.1186/s13007-021-00754-1 |
0.802 |
|
2020 |
Jarquin D, de Leon N, Romay C, Bohn M, Buckler ES, Ciampitti I, Edwards J, Ertl D, Flint-Garcia S, Gore MA, Graham C, Hirsch CN, Holland JB, Hooker D, Kaeppler SM, ... ... Lawrence-Dill CJ, et al. Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project. Frontiers in Genetics. 11: 592769. PMID 33763106 DOI: 10.3389/fgene.2020.592769 |
0.563 |
|
2020 |
Braun IR, Yanarella CF, Lawrence-Dill CJ. Computing on Phenotypic Descriptions for Candidate Gene Discovery and Crop Improvement. Plant Phenomics (Washington, D.C.). 2020: 1963251. PMID 33313544 DOI: 10.34133/2020/1963251 |
0.623 |
|
2020 |
Manchanda N, Portwood JL, Woodhouse MR, Seetharam AS, Lawrence-Dill CJ, Andorf CM, Hufford MB. GenomeQC: a quality assessment tool for genome assemblies and gene structure annotations. Bmc Genomics. 21: 193. PMID 32122303 DOI: 10.1186/S12864-020-6568-2 |
0.461 |
|
2020 |
Braun IR, Yanarella CF, Lawrence-Dill CJ. Computing on Phenotypic Descriptions for Candidate Gene Discovery and Crop Improvement Plant Phenomics. 2020: 1-4. DOI: 10.34133/2020/1963251 |
0.623 |
|
2019 |
Braun IR, Lawrence-Dill CJ. Automated Methods Enable Direct Computation on Phenotypic Descriptions for Novel Candidate Gene Prediction. Frontiers in Plant Science. 10: 1629. PMID 31998331 DOI: 10.3389/Fpls.2019.01629 |
0.665 |
|
2019 |
Banakar R, Eggenberger AL, Lee K, Wright DA, Murugan K, Zarecor S, Lawrence-Dill CJ, Sashital DG, Wang K. High-frequency random DNA insertions upon co-delivery of CRISPR-Cas9 ribonucleoprotein and selectable marker plasmid in rice. Scientific Reports. 9: 19902. PMID 31882637 DOI: 10.1038/S41598-019-55681-Y |
0.398 |
|
2019 |
Knauer S, Javelle M, Li L, Li X, Ma X, Wimalanathan K, Kumari S, Johnston R, Leiboff S, Meeley R, Schnable PS, Ware D, Lawrence-Dill C, Yu J, Muehlbauer GJ, et al. A high-resolution gene expression atlas links dedicated meristem genes to key architectural traits. Genome Research. PMID 31744902 DOI: 10.1101/Gr.250878.119 |
0.76 |
|
2019 |
Bao Y, Zarecor S, Shah D, Tuel T, Campbell DA, Chapman AVE, Imberti D, Kiekhaefer D, Imberti H, Lübberstedt T, Yin Y, Nettleton D, Lawrence-Dill CJ, Whitham SA, Tang L, et al. Assessing plant performance in the Enviratron. Plant Methods. 15: 117. PMID 31660060 DOI: 10.1186/S13007-019-0504-Y |
0.311 |
|
2019 |
Cho KT, Portwood JL, Gardiner JM, Harper LC, Lawrence-Dill CJ, Friedberg I, Andorf CM. MaizeDIG: Maize Database of Images and Genomes. Frontiers in Plant Science. 10: 1050. PMID 31555312 DOI: 10.3389/Fpls.2019.01050 |
0.672 |
|
2019 |
He M, Wimalanathan K, Liu P, Lawrence-Dill C. Compare Expression Profiles for Pre-defined Gene Groups with C-REx Journal of Open Source Software. 4: 1255. DOI: 10.21105/JOSS.01255 |
0.748 |
|
2018 |
Wimalanathan K, Friedberg I, Andorf CM, Lawrence-Dill CJ. Maize GO Annotation-Methods, Evaluation, and Review (maize-GAMER). Plant Direct. 2: e00052. PMID 31245718 DOI: 10.1002/pld3.52 |
0.766 |
|
2018 |
Zhou N, Siegel ZD, Zarecor S, Lee N, Campbell DA, Andorf CM, Nettleton D, Lawrence-Dill CJ, Ganapathysubramanian B, Kelly JW, Friedberg I. Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning. Plos Computational Biology. 14: e1006337. PMID 30059508 DOI: 10.1371/Journal.Pcbi.1006337 |
0.583 |
|
2018 |
AlKhalifah N, Campbell DA, Falcon CM, Gardiner JM, Miller ND, Romay MC, Walls R, Walton R, Yeh CT, Bohn M, Bubert J, Buckler ES, Ciampitti I, Flint-Garcia S, Gore MA, ... ... Lawrence-Dill CJ, et al. Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. Bmc Research Notes. 11: 452. PMID 29986751 DOI: 10.1186/S13104-018-3508-1 |
0.616 |
|
2018 |
Lee K, Zhang Y, Kleinstiver BP, Guo JA, Aryee MJ, Miller J, Malzahn A, Zarecor S, Lawrence-Dill CJ, Joung JK, Qi Y, Wang K. Activities and specificities of CRISPR-Cas9 and Cas12a nucleases for targeted mutagenesis in maize. Plant Biotechnology Journal. PMID 29972722 DOI: 10.1111/Pbi.12982 |
0.301 |
|
2018 |
Srivastava R, Li Z, Russo G, Tang J, Bi R, Muppirala U, Chudalayandi S, Severin A, He M, Vaitkevicius SI, Lawrence-Dill CJ, Liu P, Stapleton AE, Bassham DC, Brandizzi F, et al. Response to Persistent ER Stress in Plants: A Multiphasic Process That Transitions Cells from Prosurvival Activities to Cell Death. The Plant Cell. 30: 1220-1242. PMID 29802214 DOI: 10.1105/Tpc.18.00153 |
0.728 |
|
2018 |
Lawrence-Dill C, Heindel T, Schnable P, Strong S, Wittrock J, Losch M, Dickerson J. Transdisciplinary Graduate Training in Predictive Plant Phenomics Agronomy. 8: 73. DOI: 10.3390/Agronomy8050073 |
0.556 |
|
2017 |
Gage JL, Jarquin D, Romay C, Lorenz A, Buckler ES, Kaeppler S, Alkhalifah N, Bohn M, Campbell DA, Edwards J, Ertl D, Flint-Garcia S, Gardiner J, Good B, Hirsch CN, ... ... Lawrence-Dill CJ, et al. The effect of artificial selection on phenotypic plasticity in maize. Nature Communications. 8: 1348. PMID 29116144 DOI: 10.1038/S41467-017-01450-2 |
0.57 |
|
2017 |
He M, Liu P, Lawrence-Dill CJ. A hypothesis-driven approach to assessing significance of differences in RNA expression levels among specific groups of genes Current Plant Biology. 46-51. DOI: 10.1016/J.Cpb.2017.12.003 |
0.765 |
|
2016 |
Wolt JD, Wang K, Sashital D, Lawrence-Dill CJ. Achieving Plant CRISPR Targeting that Limits Off-Target Effects. The Plant Genome. 9. PMID 27902801 DOI: 10.3835/Plantgenome2016.05.0047 |
0.365 |
|
2016 |
Pauli D, Chapman SC, Bart R, Topp CN, Lawrence-Dill CJ, Poland J, Gore MA. The quest for understanding phenotypic variation via integrated approaches in the field environment. Plant Physiology. PMID 27482076 DOI: 10.1104/Pp.16.00592 |
0.695 |
|
2016 |
Brazelton VA, Zarecor S, Wright DA, Wang Y, Liu J, Chen K, Yang B, Lawrence-Dill CJ. A Quick Guide to CRISPR sgRNA Design Tools. Gm Crops & Food. 0. PMID 26745836 DOI: 10.1080/21645698.2015.1137690 |
0.639 |
|
2016 |
Wolt JD, Wang K, Sashital D, Lawrence-Dill CJ. Achieving plant CRISPR targeting that limits off-target effects Plant Genome. 9. DOI: 10.3835/plantgenome2016.05.0047 |
0.365 |
|
2015 |
Thessen AE, Bunker DE, Buttigieg PL, Cooper LD, Dahdul WM, Domisch S, Franz NM, Jaiswal P, Lawrence-Dill CJ, Midford PE, Mungall CJ, Ramírez MJ, Specht CD, Vogt L, Vos RA, et al. Emerging semantics to link phenotype and environment. Peerj. 3: e1470. PMID 26713234 DOI: 10.7717/Peerj.1470 |
0.388 |
|
2015 |
Andorf CM, Cannon EK, Portwood JL, Gardiner JM, Harper LC, Schaeffer ML, Braun BL, Campbell DA, Vinnakota AG, Sribalusu VV, Huerta M, Cho KT, Wimalanathan K, Richter JD, Mauch ED, ... ... Lawrence-Dill CJ, et al. MaizeGDB update: new tools, data and interface for the maize model organism database. Nucleic Acids Research. PMID 26432828 DOI: 10.1093/Nar/Gkv1007 |
0.765 |
|
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