Multi Locus View: an extensible web-based tool for the analysis of genomic data

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. Ho...

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Main Authors: Sergeant, MJ, Hughes, JR, Hentges, L, Lunter, G, Downes, DJ, Taylor, S
Format: Journal article
Language:English
Published: Springer Nature 2021
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author Sergeant, MJ
Hughes, JR
Hentges, L
Lunter, G
Downes, DJ
Taylor, S
author_facet Sergeant, MJ
Hughes, JR
Hentges, L
Lunter, G
Downes, DJ
Taylor, S
author_sort Sergeant, MJ
collection OXFORD
description 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.
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spelling oxford-uuid:6dd383eb-18d9-44b5-9fb9-a9b4f8bd0db12022-03-26T19:20:18ZMulti Locus View: an extensible web-based tool for the analysis of genomic dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6dd383eb-18d9-44b5-9fb9-a9b4f8bd0db1EnglishSymplectic ElementsSpringer Nature2021Sergeant, MJHughes, JRHentges, LLunter, GDownes, DJTaylor, STracking 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.
spellingShingle Sergeant, MJ
Hughes, JR
Hentges, L
Lunter, G
Downes, DJ
Taylor, S
Multi Locus View: an extensible web-based tool for the analysis of genomic data
title Multi Locus View: an extensible web-based tool for the analysis of genomic data
title_full Multi Locus View: an extensible web-based tool for the analysis of genomic data
title_fullStr Multi Locus View: an extensible web-based tool for the analysis of genomic data
title_full_unstemmed Multi Locus View: an extensible web-based tool for the analysis of genomic data
title_short Multi Locus View: an extensible web-based tool for the analysis of genomic data
title_sort multi locus view an extensible web based tool for the analysis of genomic data
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