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

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, Prajwal Ciryam, Naomi Altman, Bernd Bukau, Günter Krämer, 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.

Journal of Molecular Biology · Nov 2, 2020Peer-reviewedMolecular Biology

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

Qingyu Wang, Cooduvalli S. Shashikant, Matthew Jensen, Naomi Altman, 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.

Scientific Reports · Apr 7, 2017Peer-reviewedGenomics