Author

Syed Muhammad Abdullah

City University of Hong KongORCID 0000-0002-7334-0722Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:human· 1 Assay:long-read sequencing· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Yanni SuniD· 2 shared Dehan CaiiD· 1 shared John P. BartoniD· 1 shared Jonathan Daniel IpiD· 1 shared Kelvin Kai‐Wang ToiD· 1 shared Matthew R. McKayiD· 1 shared Muhammad Saqib SohailiD· 1 shared Raymond H. Y. LouieiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Yanni SunORCID

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Author profile →

2 papers

Recent·Most cited

SLAFIT: Viral fitness inference and structural variant detection from TGS data

Syed Muhammad Abdullah, Dehan Cai, Jonathan Daniel Ip, Kelvin Kai‐Wang To, Yanni Sun

SLAFIT infers viral fitness and detects structural variants from third-generation sequencing data by analyzing linkage disequilibrium and haplotype frequencies.

bioRxiv · Oct 16, 2026 · PreprintBioinformatics

Linkage-aware inference of fitness from short-read time-series genomic data

Syed Muhammad Abdullah, Muhammad Saqib Sohail, Raymond H. Y. Louie, Yanni Sun, John P. Barton, Matthew R. McKay

This paper introduces a method to infer fitness effects from short-read time-series genomic data while accounting for genetic linkage, validated on HIV and SARS-CoV-2 datasets.

Virus Evolution · Jan 1, 2026Peer-reviewedBioinformatics