Author

Sheikh Azizul Hakim

Bangladesh University of Engineering and TechnologyORCID 0000-0002-3405-2402Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:phylogenetics / evolution· 3 Approach:statistical model· 3 Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:multiple species· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Md. Shamsuzzoha BayzidiD· 3 shared Abdur RafiiD· 2 shared Ahmed Mahir Sultan RumiiD· 2 shared Md Toki TahmidiD· 1 shared Md. Rownok Zahan RatuliD· 1 shared Rabib Jahin Ibn MominiD· 1 shared Rezwana ReaziD· 1 shared S. SohaibiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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3 shared papersEvolutionary Biology

Md. Shamsuzzoha BayzidORCID

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3 papers

Recent·Most cited

Highly Accurate Species Tree Inference from Orthologs and Paralogs through Scalable Quartet Amalgamation

Abdur Rafi, Ahmed Mahir Sultan Rumi, Sheikh Azizul Hakim, Md. Shamsuzzoha Bayzid

This paper introduces wQFM-GDL, a method for species tree inference that models gene duplication and loss, outperforming existing methods on large datasets.

bioRxiv · Apr 4, 2025 · PreprintEvolutionary Biology

wQFM-TREE: highly accurate and scalable quartet-based species tree inference from gene trees

Abdur Rafi, Ahmed Mahir Sultan Rumi, Sheikh Azizul Hakim, S. Sohaib, Md Toki Tahmid, Rabib Jahin Ibn Momin, Tanjeem Azwad Zaman, Rezwana Reaz, Md. Shamsuzzoha Bayzid

This paper introduces wQFM-TREE, a method for species tree inference that improves accuracy and scalability over existing methods like ASTRAL and wQFM.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedEvolutionary Biology

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