H
Hervé Pagès
Researcher at Fred Hutchinson Cancer Research Center
Publications - 14
Citations - 7737
Hervé Pagès is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Bioconductor & Matrix representation. The author has an hindex of 9, co-authored 14 publications receiving 5823 citations.
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Journal ArticleDOI
Two contrasting classes of nucleolus-associated domains in mouse fibroblast heterochromatin.
Anastassiia Vertii,Jianhong Ou,Jun Yu,Aimin Yan,Hervé Pagès,Haibo Liu,Lihua Julie Zhu,Paul D. Kaufman +7 more
TL;DR: The first genome-scale map of murine NADs in mouse embryonic fibroblasts (MEFs) is determined via deep sequencing of chromatin associated with purified nucleoli via Bioconductor package called NADfinder and it is demonstrated that it identifies NADs more accurately than other peak-calling tools, owing to its critical feature of chromosome-level local baseline correction.
Posted ContentDOI
Orchestrating Single-Cell Analysis with Bioconductor
Robert A. Amezquita,Vincent J. Carey,Lindsay N. Carpp,Ludwig Geistlinger,Aaron T. L. Lun,Federico Marini,Kevin Rue-Albrecht,Davide Risso,Charlotte Soneson,Charlotte Soneson,Levi Waldron,Hervé Pagès,Mike L. Smith,Wolfgang Huber,Martin Morgan,Raphael Gottardo,Stephanie C. Hicks +16 more
TL;DR: An overview of single-cell RNA sequencing analysis for prospective users and contributors is presented, highlighting the contributions towards this effort made by Bioconductor.
Journal ArticleDOI
GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases
Lihua Julie Zhu,Michael S. Lawrence,Ankit Gupta,Hervé Pagès,Alper Kucukural,Manuel Garber,Scot A. Wolfe +6 more
TL;DR: The GUIDEseq package enables analysis of GUIDE-data from various nuclease platforms for any species with a defined genomic sequence and annotates potential off-target sites that overlap with genes based on genome annotation information, as these may be the most important off- target sites for further characterization.
Book ChapterDOI
Genomic Annotation Resources in R/Bioconductor.
Marc R. J. Carlson,Marc R. J. Carlson,Hervé Pagès,Sonali Arora,Valerie Obenchain,Martin Morgan +5 more
TL;DR: The most popularnotation resources in the Bioconductor project are described and some high level examples on how to use them are given.
Journal ArticleDOI
beachmat: A Bioconductor C++ API for accessing high-throughput biological data from a variety of R matrix types.
TL;DR: A C++ interface named beachmat is described, which enables agnostic data access from various matrix representations and allows package developers to write efficient C++ code that is interoperable with dense, sparse and file-backed matrices, amongst others.