Author

Alexandre Yahi

New York Genome Center

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 Cancer Biology· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Nicholas P. TatonettiiD· 3 shared Pejman MohammadiiD· 2 shared Tuuli LappalaineniD· 2 shared David B. GoldsteiniD· 1 shared David K. Vawdrey· 1 shared Eimear E. KennyiD· 1 shared Fernanda C. G. PolubriaginofiD· 1 shared George Hripcsak· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Nicholas P. TatonettiORCID

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Author profile →

4 papers

Recent·Most cited

EdiTyper: a high-throughput tool for analysis of targeted sequencing data from genome editing experiments

Alexandre Yahi, Paul Hoffman, Margot K. Brandt, Pejman Mohammadi, Nicholas P. Tatonetti, Tuuli Lappalainen

EdiTyper analyzes targeted sequencing data from genome editing experiments to detect mutations and indels with high accuracy and scalability.

bioRxiv · Jul 30, 2020 · PreprintGenomics

RecNW: A fast pairwise aligner for targeted sequencing

Alexandre Yahi, Tuuli Lappalainen, Pejman Mohammadi, Nicholas P. Tatonetti

RecNW is a fast exact aligner for targeted sequencing that outperforms existing tools by using recurrence and unique read alignment.

bioRxiv · Jul 19, 2018 · PreprintBioinformatics

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

Fernanda C. G. Polubriaginof, Rami Sesha Vanguri, Kayla Quinnies, Gillian M. Belbin, Alexandre Yahi, Hojjat Salmasian, Tal Lorberbaum, Victor Nwankwo, Li Li, Mark Shervey, Patricia Glowe, Iuliana Ionita-Laza, Mary C. Simmerling, George Hripcsak, Suzanne Bakken Henry, , Nicholas P. Tatonetti

The paper uses next-of-kin data from electronic health records to estimate heritability for 500 disease phenotypes, finding results consistent with existing literature.

bioRxiv · May 24, 2017 · PreprintGenetics

Mechanical signals inhibit growth of a grafted tumor in vivo: Proof of Concept

Remy BROSSEL, Alexandre YAHI, Stephane DAVID, Laura MORENO VELASQUEZ, Jean-Marc GUINEBRETIERE

This study demonstrates that applying a biomechanical constraint field using magnetic nanoparticles inhibits tumor growth in vivo, with significant reductions in tumor volume and surface area in treated mice.

bioRxiv · Mar 29, 2016Cancer Biology