Author

C. Chong

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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Cancer Biology· 2 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 3 Assay:proteomics· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Harari· 2 shared G. Coukos· 2 shared J. Michaux· 2 shared M. Arnaud· 2 shared M. Bassani-Sternberg· 2 shared A. Auger· 1 shared A. C. Marques· 1 shared A. Chevallereau· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersCancer Biology

A. Harari

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Bacterial defences interact synergistically by disrupting phage cooperation

A. Maestri, E. Pursey, C. Chong, B. J. Pons, S. Gandon, R. Custodio, M. Chisnall, A. Grasso, S. Paterson, K. S. Baker, S. van Houte, A. Chevallereau, E. Westra

This study identifies a novel bacterial defence system, MADS, which synergizes with CRISPR-Cas to protect against phages with anti-CRISPR genes by disrupting phage cooperation.

bioRxiv · Mar 30, 2023 · PreprintMicrobiology

A deep learning approach for improved detection of homologous recombination deficiency from shallow genomic profiles

G. Andre, T. Coletta, C. Pozzorini, A. C. Marques, J. Bieler, R. Kempfer, C. Chong, A. Saitta, E. Smith, M. Macheret, A. Janiszewski, X. Bonilla, J. Bonet, H. Santos-Silva, M. Postl, , Z. Xu

This paper introduces a deep learning model to detect homologous recombination deficiency from shallow whole genome sequencing data, achieving high accuracy comparable to deeper sequencing methods.

bioRxiv · Jul 6, 2022 · PreprintCancer Biology

Integrated Proteogenomic Deep Sequencing and Analytics Accurately Identify Non-Canonical Peptides in Tumor Immunopeptidomes

C. Chong, M. Muller, H. Pak, D. Harnett, F. Huber, D. Grun, M. Leleu, A. Auger, M. Arnaud, B. J. Stevenson, J. Michaux, I. Bilic, A. Hirsekorn, L. Calviello, L. Simo-Riudalbas, , M. Bassani-Sternberg

The paper develops an MS-based proteogenomic approach to identify non-canonical HLA peptides in tumors, finding hundreds of shared and tumor-specific peptides, including an immunogenic one from ABCB5.

bioRxiv · Sep 6, 2019Cancer Biology

Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions

J. Racle, J. Michaux, G. A. Rockinger, M. Arnaud, S. Bobisse, C. Chong, P. Guillaume, G. Coukos, A. Harari, C. Jandus, M. Bassani-Sternberg, D. Gfeller

The paper improves HLA-II epitope prediction by combining mass spectrometry data with a new motif deconvolution algorithm, enhancing motif definition and prediction accuracy.

bioRxiv · Feb 3, 2019Immunology