| Literature DB >> 34035422 |
Martin J Sergeant1, Jim R Hughes1,2, Lance Hentges1, Gerton Lunter1,3, Damien J Downes2, Stephen Taylor4.
Abstract
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 .Entities:
Mesh：
Year: 2021 PMID： 34035422 PMCID： PMC8149710 DOI： 10.1038/s42003-021-02097-y
Source DB: PubMed Journal: Commun Biol ISSN： 2399-3642