Author

Houda Alachkar

University of Southern CaliforniaORCID 0000-0001-5567-5521Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Serghei ManguliD· 2 shared Abdullah Al NahidiD· 1 shared Alex ZelikovskyiD· 1 shared Amanda M. BurkhardtiD· 1 shared Austin NguyeniD· 1 shared Dottie YuiD· 1 shared Grigore BoldireviD· 1 shared Guoyun KaoiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Serghei MangulORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 22, 2023

A rigorous benchmarking of alignment-based HLA callers for RNA-seq data

Dottie Yu, Ram Ayyala, Sarah Hany Sadek…·Serghei Mangul

This study benchmarks 12 HLA callers on RNA-seq data across 682 samples to evaluate accuracy, computational cost, and performance differences by ancestry.

5 citations

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMay 26, 2022

pyTCR: a comprehensive and scalable platform for TCR-Seq data analysis to facilitate reproducibility and rigor of immunogenomics research

Kerui Peng, Jaden Moore, Jaqueline Brito…·Serghei Mangul

pyTCR is a computational notebook platform for TCR-Seq analysis that provides flexibility, transparency, and user-friendliness for researchers with limited computational skills.

1 citation

statistical modelmachine learning (classical)

𝕏 PostBluesky