Year |
Citation |
Score |
2020 |
Shimko TC, Fordyce PM, Orenstein Y. DeCoDe: degenerate codon design for complete protein-coding DNA libraries. Bioinformatics (Oxford, England). PMID 32176271 DOI: 10.1093/Bioinformatics/Btaa162 |
0.632 |
|
2019 |
Shimko TC, Fordyce PM. Deep Learning Models Explore the Structural Effects of Transcription Factor-DNA Complexes on Binding Specificity Biophysical Journal. 116: 503a. DOI: 10.1016/J.Bpj.2018.11.2714 |
0.68 |
|
2018 |
Aditham AK, Shimko TC, Fordyce PM. BET-seq: Binding energy topographies revealed by microfluidics and high-throughput sequencing. Methods in Cell Biology. 148: 229-250. PMID 30473071 DOI: 10.1016/Bs.Mcb.2018.09.011 |
0.698 |
|
2018 |
Greenside P, Shimko T, Fordyce P, Kundaje A. Discovering epistatic feature interactions from neural network models of regulatory DNA sequences. Bioinformatics (Oxford, England). 34: i629-i637. PMID 30423062 DOI: 10.1093/Bioinformatics/Bty575 |
0.693 |
|
2018 |
Brower K, Puccinelli R, Markin CJ, Shimko TC, Longwell SA, Cruz B, Gomez-Sjoberg R, Fordyce PM. An Open-Source, Programmable Pneumatic Setup for Operation and Automated Control of Single- and Multi-Layer Microfluidic Devices. Hardwarex. 3: 117-134. PMID 30221210 DOI: 10.1016/J.Ohx.2017.10.001 |
0.604 |
|
2018 |
Le DD, Shimko TC, Aditham AK, Keys AM, Longwell SA, Orenstein Y, Fordyce PM. Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding. Proceedings of the National Academy of Sciences of the United States of America. PMID 29588420 DOI: 10.1073/Pnas.1715888115 |
0.55 |
|
Low-probability matches (unlikely to be authored by this person) |
2015 |
Andersen EC, Shimko TC, Crissman JR, Ghosh R, Bloom JS, Seidel HS, Gerke JP, Kruglyak L. A Powerful New Quantitative Genetics Platform, Combining Caenorhabditis elegans High-Throughput Fitness Assays with a Large Collection of Recombinant Strains. G3 (Bethesda, Md.). 5: 911-20. PMID 25770127 DOI: 10.1534/G3.115.017178 |
0.246 |
|
2014 |
Shimko TC, Andersen EC. COPASutils: an R package for reading, processing, and visualizing data from COPAS large-particle flow cytometers. Plos One. 9: e111090. PMID 25329171 DOI: 10.1371/Journal.Pone.0111090 |
0.241 |
|
Hide low-probability matches. |