J
John Erol Evangelista
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 18
Citations - 1182
John Erol Evangelista is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 5, co-authored 8 publications receiving 223 citations. Previous affiliations of John Erol Evangelista include Mount Sinai Hospital.
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Journal ArticleDOI
Gene Set Knowledge Discovery with Enrichr.
Zhuorui Xie,Allison Bailey,Maxim V. Kuleshov,Daniel J.B. Clarke,John Erol Evangelista,Sherry L. Jenkins,Alexander Lachmann,Megan L. Wojciechowicz,Eryk Kropiwnicki,Kathleen M. Jagodnik,Minji Jeon,Avi Ma'ayan +11 more
TL;DR: Enrichr as discussed by the authors is a gene set search engine that enables the querying of hundreds of thousands of annotated gene sets Enrichr uniquely integrates knowledge from many high-profile projects to provide synthesized information about mammalian genes and gene sets.
Journal ArticleDOI
LINCS Data Portal 2.0: next generation access point for perturbation-response signatures
Vasileios Stathias,John Paul Turner,Amar Koleti,Dusica Vidovic,Daniel J. Cooper,Mehdi Fazel-Najafabadi,Marcin Pilarczyk,Raymond Terryn,Caty Chung,Afoma C. Umeano,Daniel J.B. Clarke,Alexander Lachmann,John Erol Evangelista,Avi Ma'ayan,Mario Medvedovic,Stephan C. Schürer +15 more
TL;DR: The cornerstone of this update has been the decision to reprocess all high-level LINCS datasets and make them accessible at the data point level enabling users to directly access and download any subset of signatures across the entire library independent from the originating source, project or assay.
Journal ArticleDOI
The COVID-19 Drug and Gene Set Library.
Maxim V. Kuleshov,Dan J. Stein,Daniel J.B. Clarke,Eryk Kropiwnicki,Kathleen M. Jagodnik,Alon Bartal,John Erol Evangelista,Jason Hom,Minxuan Cheng,Allison Bailey,Abigail Zhou,Laura B. Ferguson,Alexander Lachmann,Avi Ma'ayan +13 more
TL;DR: The COVID-19 Drug and Gene Set Library can be used to identify community consensus, make researchers and clinicians aware of new potential therapies, enable machine-learning applications, and facilitate the research community to work together toward a cure.
Journal ArticleDOI
Appyters: Turning Jupyter Notebooks into data-driven web apps
Daniel J.B. Clarke,Minji Jeon,Dan J. Stein,Nicole Moiseyev,Eryk Kropiwnicki,Charles Dai,Zhuorui Xie,Megan L. Wojciechowicz,Skylar Litz,Jason Hom,John Erol Evangelista,Lucas Goldman,Serena Zhang,Christine Yoon,Tahmid Ahamed,Samantha Bhuiyan,Minxuan Cheng,Julie Karam,Kathleen M. Jagodnik,Ingrid Shu,Alexander Lachmann,Sam Ayling,Sherry L. Jenkins,Avi Ma'ayan +23 more
TL;DR: Appyters as mentioned in this paper enables the rapid development of interactive web-based bioinformatics applications by allowing users to upload their data and set various parameters for a multitude of data analysis workflows.
Journal ArticleDOI
KEA3: improved kinase enrichment analysis via data integration.
Maxim V. Kuleshov,Zhuorui Xie,Alexandra B K London,Janice Yang,John Erol Evangelista,Alexander Lachmann,Ingrid Shu,Denis Torre,Avi Ma'ayan +8 more
TL;DR: KEA3 as discussed by the authors is a web-server application that infers overrepresentation of upstream kinases whose putative substrates are in a user-inputted list of proteins.