Author

Christophe Legendre

Translational Genomics 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· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Winnie S. LiangiD· 2 shared Adrienne HellandiD· 1 shared Ahmet A. Kurdoglu· 1 shared Ajai ChariiD· 1 shared Aleksandar SekulićiD· 1 shared Alex Blanski· 1 shared Andrea Donnelly· 1 shared Andrzej J. JakubowiakiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Winnie S. LiangORCID

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2 papers

Recent·Most cited

Genomic Basis of Multiple Myeloma Subtypes from the MMRF CoMMpass Study

Sheri Skerget, Daniel Peñaherrera, Ajai Chari, Sundar Jagannath, David Samuel DiCapua Siegel, Ravi Vij, Gregory Joshua Orloff, Andrzej J. Jakubowiak, Rubén Niesvizky, Darla Liles, Jesús G. Berdeja, Moshe Yair Levy, Jeffrey Lee Wolf, Saad Z. Usmani, The MMRF CoMMpass Network, , Jonathan J. Keats

The paper identifies genomic subtypes of multiple myeloma using the MMRF CoMMpass study and finds that 25.5% of patients transition to a high-risk expression subtype at progression, which expresses immunotherapy targets.

medRxiv · Aug 2, 2021 · PreprintGenetic & Genomic Medicine

Bisbee: A proteomics validated analysis package for detecting differential splicing, identifying splice outliers, and predicting splice event protein effects

Rebecca F. Halperin, Apurva M. Hegde, Jessica D. Lang, Elizabeth A. Raupach, Christophe Legendre, Winnie S. Liang, Patricia Mucci LoRusso, Aleksandar Sekulić, Jeffrey Alan Sosman, Jeffrey M. Trent, Sampathkumar Rangasamy, Patrick Pirrotte, Nicholas J. Schork

Bisbee detects differential splicing and identifies splice outliers with improved sensitivity and specificity using proteomics validated methods.

bioRxiv · Aug 13, 2020 · PreprintBioinformatics