Author

Komudi Singh

National Institutes of HealthORCID 0000-0002-6413-541XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Fayaz SeifuddiniD· 3 shared Mehdi PiroozniaiD· 3 shared Abhilash SureshiD· 2 shared Ilker TunciD· 2 shared Jennifer JudyiD· 2 shared Adrian U. WiestneriD· 1 shared Chingiz UnderbayeviD· 1 shared Clare SuniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Fayaz SeifuddinORCID

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3 papers

Recent·Most cited

Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection

Komudi Singh, Yunching Chen, Shahin Hassanzadeh, Kim Han, Jennifer Judy, Fayaz Seifuddin, Ilker Tunc, Michael N. Sack, Mehdi Pirooznia

The paper identifies autophagic and mitochondrial dysfunctions in SARS-CoV-2 infection through transcriptome profiling and network analysis of cell lines and human samples.

Frontiers in Genetics · Mar 16, 2021Peer-reviewedBioinformatics

lncRNAKB: A comprehensive knowledgebase of long non-coding RNAs

Fayaz Seifuddin, Komudi Singh, Abhilash Suresh, Jennifer Judy, Yun-Ching Chen, Vijender Chaitankar, Ilker Tunc, Xiangbo Ruan, Ping Li, Yi Chen, Haiming Cao, Richard S. Lee, Fernando S. Goes, Peter P. Zandi, Mohsin Saleet Jafri, Mehdi Pirooznia

The paper introduces lncRNAKB, a comprehensive knowledgebase of 77,199 human lncRNAs with expression, conservation, and cis-eQTL data from GTEx.

Scientific Data · Oct 5, 2020Peer-reviewedBioinformatics

IKAP - Identifying K mAjor cell Population groups in single-cell RNA-seq analysis

Yun-Ching Chen, Abhilash Suresh, Chingiz Underbayev, Clare Sun, Komudi Singh, Fayaz Seifuddin, Adrian U. Wiestner, Mehdi Pirooznia

IKAP improves identification of major cell types in single-cell RNA-seq by tuning clustering parameters to enhance differentiation between cell groups.

GigaScience · Oct 1, 2019Peer-reviewedBioinformatics