Author

Patrik D’haeseleer

Lawrence Livermore National LaboratoryORCID 0000-0003-0007-8150Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Approach:benchmark study· 1 Assay:DNA methylation· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Jeffrey A. KimbreliD· 2 shared Aaron A. BestiD· 1 shared Adam P. ArkiniD· 1 shared Ali NavidiD· 1 shared Brent W. SegelkeiD· 1 shared Carol E. Zhou· 1 shared Christopher S. HenryiD· 1 shared Edmond Y. LauiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersSystems Biology

Jeffrey A. KimbrelORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 13, 2022

Sequence, Structure, and Epitope Analysis of the Polymorphic Membrane Protein Family in Chlamydia trachomatis

Patrick W. Cervantes, Brent W. Segelke, Edmond Y. Lau…·Patrik D’haeseleer

The paper analyzes the sequence, structure, and epitope features of polymorphic membrane proteins in Chlamydia trachomatis, identifying structural motifs and epitope localization.

1 citation

bacteria (other)protein sequence

𝕏 PostBluesky

Systems BiologyNucleic Acids ResearchPeer-reviewedSep 24, 2020

The ModelSEED Database for the integration of metabolic annotations and the reconstruction, comparison, and analysis of metabolic models for plants, fungi, and microbes

Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang…·Christopher S. Henry

The paper introduces the ModelSEED biochemistry database, which integrates metabolic annotations and supports the reconstruction and analysis of metabolic models for plants, fungi, and microbes.

279 citationstop 1%

plant (other)fungi (other)

𝕏 PostBluesky

BioinformaticsBMC GenomicsPeer-reviewedDec 1, 2018

Combining multiple functional annotation tools increases coverage of metabolic annotation

Marc Griesemer, Jeffrey A. Kimbrel, Carol E. Zhou…·Patrik D’haeseleer

The paper reannotates 27 bacterial genomes using multiple functional annotation tools, significantly increasing the coverage of metabolic annotations.

67 citations

bacteria (other)DNA methylation

𝕏 PostBluesky