%0 Journal Article %1 journals/bioinformatics/LiZT21 %A Li, Victoria R. %A Zhang, Zijun %A Troyanskaya, Olga G. %D 2021 %J Bioinform. %K dblp %N Supplement %P 342-348 %T CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes. %U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics37.html#LiZT21 %V 37

@article{journals/bioinformatics/LiZT21, added-at = {2022-12-07T00:00:00.000+0100}, author = {Li, Victoria R. and Zhang, Zijun and Troyanskaya, Olga G.}, biburl = {https://www.bibsonomy.org/bibtex/2dcd6a40300a94cbc70d3edcf24b42536/dblp}, ee = {https://doi.org/10.1093/bioinformatics/btab268}, interhash = {393508ce20cc9c654a5a35bf0685d5de}, intrahash = {dcd6a40300a94cbc70d3edcf24b42536}, journal = {Bioinform.}, keywords = {dblp}, number = {Supplement}, pages = {342-348}, timestamp = {2024-04-08T20:44:57.000+0200}, title = {CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.}, url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics37.html#LiZT21}, volume = 37, year = 2021 }