Author

Naomi Altman

Pennsylvania State UniversityORCID 0000-0002-3970-2152Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:proteomics· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Bernd BukauiD· 1 shared Cooduvalli S. Shashikant· 1 shared Edward P. O’BrieniD· 1 shared Günter KrämeriD· 1 shared Matthew JenseniD· 1 shared Nabeel AhmediD· 1 shared Pietro SormanniiD· 1 shared Prajwal CiryamiD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMolecular Biology

Bernd BukauORCID

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2 papers

Recent·Most cited

Molecular BiologyJournal of Molecular BiologyPeer-reviewedNov 2, 2020

Pairs of amino acids at the P- and A-sites of the ribosome predictably and causally modulate translation-elongation rates

Nabeel Ahmed, Ulrike Anne Friedrich, Pietro Sormanni…·Edward P. O’Brien

The paper identifies amino acid pairs at the ribosome's P- and A-sites that predictably and causally modulate translation-elongation rates in yeast.

11 citations

yeastproteomics

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GenomicsScientific ReportsPeer-reviewedApr 7, 2017

Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity

Qingyu Wang, Cooduvalli S. Shashikant, Matthew Jensen…·Santhosh Girirajan

This study introduces two novel metrics to assess coverage uniformity in whole exome sequencing data, revealing local and global non-uniformity across platforms and genomic regions.

70 citationstop 5%

whole-exome sequencingstatistical model

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