Author

Sravanthi Davuluri

Vellore Institute of Technology UniversityORCID 0000-0001-9926-6949Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:protein structure· 1

Frequent Co-Authors

Akhilesh Kumar BajpaiiD· 3 shared Kshitish K. AcharyaiD· 3 shared Kavyashree BasavarajuiD· 2 shared Balagannavar GovindkumariD· 1 shared Balagannavar Vashishtkumar· 1 shared Chitturi Neelima· 1 shared Deena Dayalan· 1 shared Divya Dosemane· 1 shared

Activity by Year

2019-2025 · peak 2/yr

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10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Akhilesh Kumar BajpaiORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 26, 2025

Systematic Comparative Analysis of Pathway Databases from a User-Perspective

Moushumi Goswami, Divya Dosemane, Sravanthi Davuluri…·Kshitish K. Acharya

The paper systematically compares pathway databases by querying them with genes, pathways, and conditions, finding that PathDIP and Reactome perform best depending on the query type.

DOI 10.1101/2025.03.26.645364

humanstatistical model

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Developmental BiologybioRxivPreprintSep 23, 2019

Listing candidate diagnostic markers and exploring the molecular basis of human spermatogenesis and a type of male infertility (Non-Obstructive Azoospermia), with transcriptomics via the next generation sequencing methods

Balagannavar Govindkumar, Kavyashree Basavaraju, Akhilesh Kumar Bajpai…·K Acharya Kshitish

The paper identifies 100+ genes associated with NOA and spermatogenesis through transcriptomics and shortlists 20 RNA molecules for diagnostic applications.

5 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintMar 3, 2019

How helpful are the protein-protein interaction databases and which ones?

Akhilesh Kumar Bajpai, Sravanthi Davuluri, Kriti Tiwary…·Kshitish K. Acharya

The paper evaluates 375 PPI databases, compares 16 for human PPIs, and recommends STRING and hPRINT for comprehensive PPI coverage.

7 citations

humanprotein structure

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