Author

Chunzi Yao

Centre National de la Recherche Scientifique

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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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Bjarni Jóhann VilhjálmssoniD· 1 shared Carla Lasry· 1 shared Hanna JulienneiD· 1 shared Hervé MénageriD· 1 shared Hugues AschardiD· 1 shared Pierre Lechat· 1 shared Robinson Araud· 1 shared Vincent GuillemotiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Bjarni Jóhann VilhjálmssonORCID

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1 paper

Recent·Most cited

JASS: Command Line and Web interface for the joint analysis of GWAS results

Hanna Julienne, Pierre Lechat, Vincent Guillemot, Carla Lasry, Chunzi Yao, Robinson Araud, Vincent Laville, Bjarni Jóhann Vilhjálmsson, Hervé Ménager, Hugues Aschard

JASS is a Python package that enables joint analysis of GWAS summary statistics to detect new genetic variants, with a web interface and efficient algorithms for large-scale analysis.

NAR Genomics and Bioinformatics · Jan 24, 2020Peer-reviewedBioinformatics