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ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses.
David, Fabrice P A; Litovchenko, Maria; Deplancke, Bart; Gardeux, Vincent.
Afiliación
  • David FPA; Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
  • Litovchenko M; Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.
  • Deplancke B; BioInformatics Competence Center, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.
  • Gardeux V; Institute of Bioengineering, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Nucleic Acids Res ; 48(W1): W403-W414, 2020 07 02.
Article en En | MEDLINE | ID: mdl-32449934
Single-cell omics enables researchers to dissect biological systems at a resolution that was unthinkable just 10 years ago. However, this analytical revolution also triggered new demands in 'big data' management, forcing researchers to stay up to speed with increasingly complex analytical processes and rapidly evolving methods. To render these processes and approaches more accessible, we developed the web-based, collaborative portal ASAP (Automated Single-cell Analysis Portal). Our primary goal is thereby to democratize single-cell omics data analyses (scRNA-seq and more recently scATAC-seq). By taking advantage of a Docker system to enhance reproducibility, and novel bioinformatics approaches that were recently developed for improving scalability, ASAP meets challenging requirements set by recent cell atlasing efforts such as the Human (HCA) and Fly (FCA) Cell Atlas Projects. Specifically, ASAP can now handle datasets containing millions of cells, integrating intuitive tools that allow researchers to collaborate on the same project synchronously. ASAP tools are versioned, and researchers can create unique access IDs for storing complete analyses that can be reproduced or completed by others. Finally, ASAP does not require any installation and provides a full and modular single-cell RNA-seq analysis pipeline. ASAP is freely available at https://asap.epfl.ch.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de la Célula Individual / RNA-Seq Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de la Célula Individual / RNA-Seq Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Suiza