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Figeno: multi-region genomic figures with long-read support.
Sollier, Etienne; Heilmann, Jessica; Gerhauser, Clarissa; Scherer, Michael; Plass, Christoph; Lutsik, Pavlo.
Afiliação
  • Sollier E; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Heilmann J; Faculty of Biosciences, Ruprecht-Karls-University of Heidelberg, 69120 Heidelberg, Germany.
  • Gerhauser C; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Scherer M; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Plass C; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Lutsik P; Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Bioinformatics ; 40(6)2024 Jun 03.
Article em En | MEDLINE | ID: mdl-38857451
ABSTRACT

SUMMARY:

The vast amount of publicly available genomic data requires analysis and visualization tools. Here, we present figeno, an application for generating publication-quality FIgures for GENOmics. Figeno particularly focuses on multi-region views across genomic breakpoints and on long reads with base modifications. In addition, we support epigenomic data including ATAC-seq, ChIP-seq or HiC, as well as whole genome sequencing data with copy numbers and structural variants. AVAILABILITY AND IMPLEMENTATION Figeno is available as a python package with both a command line and graphical user interface. It can be installed via PyPI and the source code is available at https//github.com/CompEpigen/figeno.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Genômica Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Genômica Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha