Author

Jahangheer S. Shaik

National Institutes of HealthORCID 0000-0001-5509-6570Unclaimed 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 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Asis KhaniD· 1 shared Michael E. GriggiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Asis KhanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 18, 2018

Population Structure of Leishmania using POPSICLE reveals extensive dichotomy in zygosity and discloses the role of sex in diversity of the parasite

Jahangheer S. Shaik

The paper upgrades POPSICLE for aneuploid genomes to study Leishmania population structure, revealing dichotomous zygosities and the role of sex in genetic diversity.

DOI 10.1101/420323

statistical modelbenchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 4, 2018

POPSICLE: A Software Suite to Study Population Structure and Ancestral Determinants of Phenotypes using Whole Genome Sequencing Data

Jahangheer S. Shaik, Asis Khan, Michael E. Grigg

POPSICLE improves genotype-phenotype predictions by integrating population genetics and GWAS methods using whole genome sequencing data.

4 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky