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Multi Locus View: an extensible web-based tool for the analysis of genomic data.
Sergeant, Martin J; Hughes, Jim R; Hentges, Lance; Lunter, Gerton; Downes, Damien J; Taylor, Stephen.
Afiliação
  • Sergeant MJ; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Hughes JR; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Hentges L; MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Lunter G; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Downes DJ; MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Taylor S; University Medical Centre Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands.
Commun Biol ; 4(1): 623, 2021 05 25.
Article em En | MEDLINE | ID: mdl-34035422
Tracking and understanding data quality, analysis and reproducibility are critical concerns in the biological sciences. This is especially true in genomics where next generation sequencing (NGS) based technologies such as ChIP-seq, RNA-seq and ATAC-seq are generating a flood of genome-scale data. However, such data are usually processed with automated tools and pipelines, generating tabular outputs and static visualisations. Interpretation is normally made at a high level without the ability to visualise the underlying data in detail. Conventional genome browsers are limited to browsing single locations and do not allow for interactions with the dataset as a whole. Multi Locus View (MLV), a web-based tool, has been developed to allow users to fluidly interact with genomics datasets at multiple scales. The user is able to browse the raw data, cluster, and combine the data with other analysis and annotate the data. User datasets can then be shared with other users or made public for quick assessment from the academic community. MLV is publically available at https://mlv.molbiol.ox.ac.uk .
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise de Sequência de DNA Idioma: En Revista: Commun Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Análise de Sequência de DNA Idioma: En Revista: Commun Biol Ano de publicação: 2021 Tipo de documento: Article