Analysing high-throughput sequencing data in Python with HTSeq 2.0

HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes and...

Full description

Bibliographic Details

Published in:	Bioinformatics (Oxford, England) Vol. 38; no. 10; pp. 2943 - 2945
Main Authors:	Putri, Givanna H, Anders, Simon, Pyl, Paul Theodor, Pimanda, John E, Zanini, Fabio
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 13.05.2022
Subjects:	Applications Notes Documentation Genomics High-Throughput Nucleotide Sequencing Licensure Software
ISSN:	1367-4803, 1367-4811
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!