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Corey E. Bakalarski

dblp:426/1968 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-1085-7828ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics › peptide analysis
peptide mapping
0.912025
PepMapViz: a versatile toolkit for peptide mapping, visualization, and comparative exploration · Bioinform. 2025
Bioinformatics and computational biology
proteomics
0.912025
PepMapViz: a versatile toolkit for peptide mapping, visualization, and comparative exploration · Bioinform. 2025

Methods — techniques the papers use, named apart from their topics

r · 0.9
YearPublicationVenuePosition
2025 PepMapViz: a versatile toolkit for peptide mapping, visualization, and comparative exploration
abstract
SUMMARY: PepMapViz is a versatile R package that provides flexible peptide mapping and visualization capabilities. PepMapViz can import peptide data output from multiple popular mass spectrometry analysis tools, map peptides to their parent protein sequences, highlight protein domains and modifications, and enable comparative visualization across multiple experimental conditions. Beyond enabling visualization of MHC-presented peptide clusters in different antibody regions to predict potential immunogenicity of antibody-based therapies, PepMapViz can also aid in the visualization of cross-software mass spectrometry results at the peptide level for specific proteins, domain details in a linearized format, and post-translational modification coverage across different experimental conditions. AVAILABILITY AND IMPLEMENTATION: PepMapViz is freely available on GitHub at https://github.com/Genentech/PepMapViz and on CRAN. The package is implemented in R and includes documentation and example datasets.
Zhenru Zhou, Qui T. Phung, Corey E. Bakalarski
Bioinform.3