Author

Anushua Biswas

National Chemical Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Leelavati NarlikariD· 2 shared Sneha MitraiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersGenomics

Leelavati NarlikarORCID

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2 papers

Recent·Most cited

GenomicsGenome ResearchPeer-reviewedSep 1, 2021

A universal framework for detecting cis-regulatory diversity in DNA regulatory regions

Anushua Biswas, Leelavati Narlikar

The paper introduces a statistical framework to detect cis-regulatory diversity by modeling regions as combinations of motifs, applied to ChIP-seq and enhancer assays across species.

3 citations

Drosophilahuman

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedApr 23, 2018

DIVERSITY In Binding, Regulation, And Evolution Revealed From High-Throughput ChIP

Sneha Mitra, Anushua Biswas, Leelavati Narlikar

The paper introduces a method to decompose high-throughput ChIP data into distinct binding components without prior motif knowledge, revealing insights into chromatin complexes and their regulatory roles.

19 citations

ChIP-seqstatistical model

𝕏 PostBluesky