Author

Surabhi Srivastava

Centre for Cellular and Molecular BiologyORCID 0000-0003-4638-1518Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Divya Tej SowpatiiD· 3 shared Rakesh K. MishraiD· 3 shared Akshay Kumar AvvaruiD· 1 shared Jyotsna DhawaniD· 1 shared Karthik Bharadwaj TallapakaiD· 1 shared Lamuk ZaveriiD· 1 shared Mamilla SoujanyaiD· 1 shared Namami GauriD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersBioinformatics

Divya Tej SowpatiORCID

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3 papers

Recent·Most cited

BioinformaticsClinical and Translational MedicinePeer-reviewedSep 1, 2021

Host transcriptional response to SARS-CoV-2 infection in COVID-19 patients

Nitesh Kumar Singh, Surabhi Srivastava, Lamuk Zaveri…·Divya Tej Sowpati

This study identifies transcriptional changes in SARS-CoV-2 infected patients, showing upregulation of innate immunity and downregulation of sensory and neuro-related genes, linked to clinical symptoms.

10 citations

humanbulk RNA-seq

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GenomicsbioRxivPreprintJan 25, 2018

Patterns of microsatellite distribution reflect the evolution of biological complexity

Surabhi Srivastava, Akshay Kumar Avvaru, Divya Tej Sowpati, Rakesh K. Mishra

This study identifies and analyzes microsatellites across 719 eukaryotes, revealing evolutionary trends and species-specific patterns that reflect biological complexity.

1 citation

multiple speciesDNA methylation

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BioinformaticsBMC BioinformaticsPeer-reviewedSep 1, 2017

C-State: An interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search

Divya Tej Sowpati, Surabhi Srivastava, Jyotsna Dhawan, Rakesh K. Mishra

C-State is a web app that enables interactive visualization and comparative analysis of epigenetic patterns across multiple genes and cell types.

1 citation

ChIP-seqexperimental assay

𝕏 PostBluesky