Author

Kausik Basak

JIS UniversityORCID 0000-0003-3012-7443Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Rachana BanerjeeiD· 2 shared Abhishake LahiriiD· 1 shared Anamika Ghosh· 1 shared Debabani GangulyiD· 1 shared Jesmita Dhar· 1 shared Kamakshi SurekaiD· 1 shared Rohit Roy Chowdhury· 1 shared Sandip PauliD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Rachana BanerjeeORCID

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2 papers

Recent·Most cited

BioinformaticsComputers in Biology and MedicinePeer-reviewedOct 24, 2023

MACI: A machine learning-based approach to identify drug classes of antibiotic resistance genes from metagenomic data

Rohit Roy Chowdhury, Jesmita Dhar, Stephy Mol Robinson…·Rachana Banerjee

MACI identifies drug classes of antibiotic resistance genes from metagenomic data using machine learning, achieving high precision and recall for multidrug resistant classes.

4 citations

metagenomicsmachine learning (classical)

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BioinformaticsInfection Genetics and EvolutionPeer-reviewedApr 24, 2021

Spike protein mutational landscape in India: Could Mullers ratchet be a future game-changer for COVID-19?

Rachana Banerjee, Kausik Basak, Anamika Ghosh…·Sujay Chattopadhyay

The paper analyzes SARS-CoV-2 spike protein mutations in India, finding lower stability of spike-receptor complexes in recent variants, which correlates with declining fatality rates and suggests potential mutational meltdown.

10 citations

humanwhole-genome sequencing

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