Author

Umar Faruq Chowdhury

University of DhakaORCID 0000-0001-5088-4658Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Kazi Injamamul HoqueiD· 1 shared Md Nafis Ul AlamiD· 1 shared Mirza Ashikul Beg· 1 shared Mohammad Ali MoniiD· 1 shared Mohammad Kawsar Sharif SiamiD· 1 shared Mohammad Umer Sharif ShohaniD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Kazi Injamamul HoqueORCID

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2 papers

Recent·Most cited

BioinformaticsGenomicsPeer-reviewedDec 13, 2020

A Computational Approach to Design Potential siRNA Molecules as a Prospective Tool for Silencing Nucleocapsid Phosphoprotein and Surface Glycoprotein Gene of SARS-CoV-2

Umar Faruq Chowdhury, Mohammad Umer Sharif Shohan, Kazi Injamamul Hoque…·Mohammad Ali Moni

This study designs 8 siRNA molecules targeting SARS-CoV-2's nucleocapsid phosphoprotein and surface glycoprotein genes using sequence conservation and thermodynamic properties.

97 citationstop 2%

virusstatistical model

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BioinformaticsPLoS ONEPeer-reviewedSep 18, 2020

Short k-mer Abundance Profiles Yield Robust Machine Learning Features and Accurate Classifiers for RNA Viruses

Md Nafis Ul Alam, Umar Faruq Chowdhury

This paper introduces a k-mer-based method for classifying RNA viruses, achieving high accuracy in distinguishing viral RNA from human transcripts across species.

27 citations

humanmouse

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