R-universe search: exports:seqlevels<-

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bioc

GenomeInfoDb:Utilities for manipulating chromosome names, including modifying them to follow a particular naming style

Contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., "chr1" versus "1"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.

Maintained by Hervé Pagès. Last updated 2 months ago.

genetics datarepresentation annotation genomeannotation bioconductor-package core-package

32 stars 16.32 score 1.3k scripts 1.7k dependents

bioc

GenomicFeatures:Query the gene models of a given organism/assembly

Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a small collection of TxDb objects in the form of ready-to-install TxDb packages for the most commonly studied organisms. Additionally, the user can easily make a TxDb object (or package) for the organism/assembly of their choice by using the tools from the txdbmaker package.

Maintained by H. Pagès. Last updated 5 months ago.

genetics infrastructure annotation sequencing genomeannotation bioconductor-package core-package

26 stars 15.34 score 5.3k scripts 339 dependents

bioc

bsseq:Analyze, manage and store whole-genome methylation data

A collection of tools for analyzing and visualizing whole-genome methylation data from sequencing. This includes whole-genome bisulfite sequencing and Oxford nanopore data.

Maintained by Kasper Daniel Hansen. Last updated 4 months ago.

dnamethylation cpp

37 stars 12.26 score 676 scripts 15 dependents

stuart-lab

Signac:Analysis of Single-Cell Chromatin Data

A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.

Maintained by Tim Stuart. Last updated 7 months ago.

atac bioinformatics single-cell zlib cpp

355 stars 12.18 score 3.7k scripts 1 dependents

bioc

easyRNASeq:Count summarization and normalization for RNA-Seq data

Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.

Maintained by Nicolas Delhomme. Last updated 5 months ago.

geneexpression rnaseq genetics preprocessing immunooncology

5.43 score 15 scripts 1 dependents