Author

Suresh K. Selvaraj

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christian HammeriD· 1 shared Deepti R. NagarkariD· 1 shared Diana ChangiD· 1 shared Edward Ernest KadeliD· 1 shared Jason A. Vander HeideniD· 1 shared Jieming CheniD· 1 shared Julie Hunkapiller· 1 shared Kiran MukhyalaiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Christian HammerORCID

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1 paper

Recent·Most cited

In silico tools for accurate HLA and KIR inference from clinical sequencing data empower immunogenetics on individual-patient and population scales

Jieming Chen, Shravan Madireddi, Deepti R. Nagarkar, Maciej Migdał, Jason A. Vander Heiden, Diana Chang, Kiran Mukhyala, Suresh K. Selvaraj, Edward Ernest Kadel, Matthew J. Brauer, Sanjeev Mariathasan, Julie Hunkapiller, Suchit Jhunjhunwala, Matthew L. Albert, Christian Hammer

The paper evaluates computational tools for accurately inferring HLA alleles and KIR haplotypes from whole-genome or whole-exome sequencing data, showing high accuracy for both tasks.

Briefings in Bioinformatics · Aug 20, 2020Peer-reviewedBioinformatics