Author

Md. Rownok Zahan Ratul

Bangladesh University of Engineering and TechnologyORCID 0009-0004-8263-0993Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:large language model· 1

Frequent Co-Authors

Atif Hasan RahmaniD· 2 shared Haz Sameen ShahgiriD· 1 shared Khondker Salman SayeediD· 1 shared Md Toki TahmidiD· 1 shared Md. Abul Hassan SameeiD· 1 shared Md. Redwanul Karim· 1 shared Md. Shamsuzzoha BayzidiD· 1 shared Sheikh Azizul HakimiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Atif Hasan RahmanORCID

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3 papers

Recent·Most cited

Reference-free Analysis of scRNA-seq Data Reveals Elevated rRNA and mtRNA Transcription during Neurogenesis in Axolotl

Md. Rownok Zahan Ratul, Md. Redwanul Karim, Md. Abul Hassan Samee, Atif Hasan Rahman

The paper introduces a reference-free scRNA-seq analysis method using k-mers, identifies elevated rRNA and mtRNA transcription during axolotl neurogenesis, and detects other RNA features in disease datasets.

Communications Biology · Aug 20, 2026Peer-reviewedBioinformatics

RNA-DCGen: Dual Constrained RNA Sequence Generation with LLM-Attack

Haz Sameen Shahgir, Md. Rownok Zahan Ratul, Md Toki Tahmid, Khondker Salman Sayeed, Atif Hasan Rahman

RNA-DCGen generates RNA sequences with specific structural or functional properties using a language model, outperforming random baselines in structure prediction.

bioRxiv · Sep 23, 2024 · PreprintBioinformatics

wQFM-DISCO: DISCO-enabled wQFM improves phylogenomic analyses despite the presence of paralogs

Sheikh Azizul Hakim, Md. Rownok Zahan Ratul, Md. Shamsuzzoha Bayzid

This study introduces wQFM-DISCO, a method combining DISCO and wQFM to improve phylogenomic analyses by handling multicopy gene trees from gene duplication and loss events, showing higher accuracy than existing methods.

Bioinformatics Advances · Jan 1, 2024Peer-reviewedBioinformatics