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scATAC-pro: a comprehensive workbench for single-cell chromatin accessibility sequencing data.
Yu, Wenbao; Uzun, Yasin; Zhu, Qin; Chen, Changya; Tan, Kai.
Afiliación
  • Yu W; Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Uzun Y; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Zhu Q; Center for Childhood Cancer Research, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Chen C; Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
  • Tan K; Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA.
Genome Biol ; 21(1): 94, 2020 04 20.
Article en En | MEDLINE | ID: mdl-32312293
Single-cell chromatin accessibility sequencing has become a powerful technology for understanding epigenetic heterogeneity of complex tissues. However, there is a lack of open-source software for comprehensive processing, analysis, and visualization of such data generated using all existing experimental protocols. Here, we present scATAC-pro for quality assessment, analysis, and visualization of single-cell chromatin accessibility sequencing data. scATAC-pro computes a range of quality control metrics for several key steps of experimental protocols, with a flexible choice of methods. It generates summary reports for both quality assessment and downstream analysis. scATAC-pro is available at https://github.com/tanlabcode/scATAC-pro.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Cromatina / Análisis de Secuencia de ADN / Análisis de la Célula Individual Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Cromatina / Análisis de Secuencia de ADN / Análisis de la Célula Individual Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos