Bioconductor version: 3.14
IMPORTANT NOTE: This is NOT the current release! See here for the most current versions of the books.
Describes how to use the csaw package to detect differentially bound regions in ChIP-seq data. This provides instructions on how to read in BAM files to obtain a per-window count matrix, filtering to obtain high-abundance windows of interest, normalization of sample-specific biases, testing for differential binding, consolidation of per-window results to obtain per-region statistics, and annotation and visualization of the DB results.
Author: Aaron Lun
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
License: GPL-3
Online book for orchestrating single cell analysis with Bioconductor. Contains plenty of worked examples, theoretical background and some philosophical discussions on the nature of single-cell data analysis.
Authors: Robert Amezquita, Aaron Lun, Stephanie Hicks, Raphael Gottardo
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
License: CC BY-NC-ND 3.0 US
Comprehensive guide to using the SingleR Bioconductor package for automated cell annotation in single-cell RNA-seq datasets. Includes theoretical explanations, worked examples with code, and demonstrations of advanced functionality.
Author: Aaron Lun
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
License: CC BY
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