Author

Anil Prakash

University of KeralaORCID 0000-0002-4649-5075Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Anil Prakash1 paper · Children's National

Biology Disciplines

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Bioinformatics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:comparative / phylogenetic analysis· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Moinak BanerjeeiD· 2 shared Aparup DasiD· 1 shared Ben S BroomfieldiD· 1 shared Catherine WaltoniD· 1 shared Devojit Kumar SarmaiD· 1 shared Jane M. CarltoniD· 1 shared Jeffery Hii· 1 shared Katy MorganiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Moinak BanerjeeORCID

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3 papers

Recent·Most cited

Early hominin arrival in Southeast Asia triggered the evolution of major human malaria vectors

Upasana Shyamsunder Singh, Ralph E. Harbach, Jeffery Hii, Moh Seng Chang, Pradya Somboon, Anil Prakash, Devojit Kumar Sarma, Ben S Broomfield, Katy Morgan, Sandra Albert, Aparup Das, Yvonne‐Marie Linton, Jane M. Carlton, Catherine Walton

The paper uses phylogenomic analysis to show that anthropophily in Southeast Asian Anopheles mosquitoes evolved in response to early hominin arrival in Sundaland around 1.8 million years ago.

Scientific Reports · Feb 26, 2026Peer-reviewedEvolutionary Biology

Neur-Ally: A deep learning model for regulatory variant prediction based on genomic and epigenomic features in brain and its validation in certain neurological disorders

Anil Prakash, Moinak Banerjee

Neur-Ally predicts regulatory non-coding SNPs in brain tissues and validates their effect in neurological disorders using deep learning and epigenomic data.

NAR Genomics and Bioinformatics · Mar 29, 2025Peer-reviewedBioinformatics

AGAAT: Automated computational tool integrating different genotyping array and correctional methods for data analysis

Anil Prakash, Moinak Banerjee

AGAAT is a tool that automates genotyping array analysis and correction methods for multi-ethnic studies, enabling association results and variant file integration.

bioRxiv · Feb 25, 2025 · PreprintBioinformatics