Author

Rasika A. Mathias

Primary ORCID profile (0000-0002-2282-9042 · 39 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Rasika A. MathiasiD39 papers · Johns Hopkins University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Behalf of the CAAPA consortium· 1 shared Carlos D. Bustamante· 1 shared Francisco M. De La Vega· 1 shared Kathleen C. Barnes· 1 shared Margaret A. Taub· 1 shared Raul Torres· 1 shared Ryan D. Hernandez· 1 shared Suyash S. Shringarpure· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

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1 paper

Recent·Most cited

Comparing multi- and single-sample variant calls to improve variant call sets from deep coverage whole-genome sequencing data

Suyash S. Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raul Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub, Behalf of the CAAPA consortium

The paper improves variant call sets from deep coverage whole-genome sequencing data by comparing multi- and single-sample variant calls using a Random Forest classifier trained on genotype array data.

bioRxiv · Sep 30, 2016 · PreprintBioinformatics