Author

Jean-Christophe Ducom

Scripps Research Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Andrew I Su· 1 shared Andrew I. SuiD· 1 shared Daniel J. Montiel GarciaiD· 1 shared Daniele Parisi· 1 shared Dennis W. Wolan· 1 shared Gregory Stupp· 1 shared Haissi CuiiD· 1 shared Ian A. NewmaniD· 1 shared

Activity by Year

2014-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Andrew I Su

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3 papers

Recent·Most cited

Catalyzing computational biology research at an academic institute through an interest network

Jaroslav Žák, Ian A. Newman, Daniel J. Montiel Garcia, Daniele Parisi, Janet Joy, Steven Robert Head, Jean-Christophe Ducom, Padmaja Natarajan, Haissi Cui, Sabah Ul-Hasan

The paper describes how a volunteer-led affinity group enhances computational biology skills and networking among researchers at an academic institute.

PLoS Computational Biology · Sep 10, 2025Peer-reviewedBioinformatics

A comprehensive and scalable database search system for metaproteomics

Sandip Chatterjee, Gregory Stupp, Sung Kyu (Robin) Park, Jean-Christophe Ducom, John R Yates, Andrew I Su, Dennis W. Wolan

The paper introduces ComPIL, a scalable database system for metaproteomics, enhancing peptide and protein identification in complex samples.

bioRxiv · May 18, 2016Bioinformatics

Omics Pipe: A Computational Framework for Reproducible Multi-Omics Data Analysis

Kathleen M Fisch, Tobias Meißner, Louis Gioia, Jean-Christophe Ducom, Tristan Carland, Salvatore Loguercio, Andrew I. Su

Omics Pipe automates multi-omics data analysis pipelines, supporting RNA-seq, miRNA-seq, Exome-seq, Whole Genome sequencing, and ChIP-seq with reproducible and extensible tools.

bioRxiv · Aug 23, 2014Bioinformatics