Author

Shravan Madireddi

ORCID 0000-0002-7069-1252Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

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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

BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 20, 2020

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…·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.

31 citations

humanwhole-genome sequencing

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