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Analysing high-throughput sequencing data in Python with HTSeq 2.0

202218 citationsPreprinthybrid Open Access

Authors

Givanna Putri · Cancer Institute of New South Wales

Simon Anders · Heidelberg University

Paul Theodor Pyl · Lund University

John E. Pimanda · Cancer Institute of New South Wales

Fabio Zanini · Cancer Institute of New South Wales

Abstract

Supplementary data are available at Bioinformatics online.

Topics & Keywords

Single-cell and spatial transcriptomics Genomics and Phylogenetic Studies Cell Image Analysis Techniques

UN Sustainable Development Goals

Partnerships for the goals

Publication Details

Published in: Bioinformatics

Volume 38, Issue 10, pp. 2943-2945

DOI: 10.1093/bioinformatics/btac166

Field-Weighted Citation Impact: 1.56

Analysing high-throughput sequencing data in Python with HTSeq 2.0 | Researchclopedia