Author

Peter D. Karp

SRI InternationalORCID 0000-0002-5876-6418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Paul E. O’MailleiD· 2 shared Ron CaspiiD· 2 shared Suzanne PaleyiD· 2 shared Aaron SpauldingiD· 1 shared Austin Swart· 1 shared James A. Herson· 1 shared John Cadigan· 1 shared Markus KrummenackeriD· 1 shared

Activity by Year

2024-2024 · peak 4/yr

Co-Author Collaboration Network

9 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Paul E. O’MailleORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Visual Analysis of Multi-Omics Data

Austin Swart, Ron Caspi, Suzanne Paley, Peter D. Karp

The paper introduces a tool for visualizing up to four omics datasets on organism-scale metabolic network diagrams using interactive web-based charts.

Frontiers in Bioinformatics · Sep 10, 2024Peer-reviewedBioinformatics

The Comparative Genome Dashboard

Suzanne Paley, Ron Caspi, Paul E. O’Maille, Peter D. Karp

The paper introduces a web-based tool for comparing gene functions across organisms, allowing users to explore similarities and differences in subsystems and biological processes.

Frontiers in Microbiology · Jul 31, 2024Peer-reviewedBioinformatics

The Genome Explorer Genome Browser

James A. Herson, Markus Krummenacker, Aaron Spaulding, Paul E. O’Maille, Peter D. Karp

The paper introduces an updated genome browser, Genome Explorer, that enables fast and intuitive genome exploration with high information density and synchronized comparative features.

mSystems · Jul 3, 2024Peer-reviewedBioinformatics

Improved BioCyc Operon Prediction: Revisiting theOperon Prediction Problem

Peter E Midford, John Cadigan, Peter D. Karp

The paper improves operon prediction in microbial genomes by adding new features, increasing accuracy from 79.55% to 83.49%.

bioRxiv · Jun 23, 2024 · PreprintGenomics