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Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data
Trips-Viz (https://trips.ucc.ie/) is an interactive platform for the analysis and visualization of ribosome profiling (Ribo-Seq) and shotgun RNA sequencing (RNA-seq) data. This includes publicly available and user generated data, hence Trips-Viz can be classified as a database and as a server. As a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262740/ https://www.ncbi.nlm.nih.gov/pubmed/33950201 http://dx.doi.org/10.1093/nar/gkab323 |
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author | Kiniry, Stephen J Judge, Ciara E Michel, Audrey M Baranov, Pavel V |
author_facet | Kiniry, Stephen J Judge, Ciara E Michel, Audrey M Baranov, Pavel V |
author_sort | Kiniry, Stephen J |
collection | PubMed |
description | Trips-Viz (https://trips.ucc.ie/) is an interactive platform for the analysis and visualization of ribosome profiling (Ribo-Seq) and shotgun RNA sequencing (RNA-seq) data. This includes publicly available and user generated data, hence Trips-Viz can be classified as a database and as a server. As a database it provides access to many processed Ribo-Seq and RNA-seq data aligned to reference transcriptomes which has been expanded considerably since its inception. Here, we focus on the server functionality of Trips-viz which also has been greatly improved. Trips-viz now enables visualisation of proteomics data from a large number of processed mass spectrometry datasets. It can be used to support translation inferred from Ribo-Seq data. Users are now able to upload a custom reference transcriptome as well as data types other than Ribo-Seq/RNA-Seq. Incorporating custom data has been streamlined with RiboGalaxy (https://ribogalaxy.ucc.ie/) integration. The other new functionality is the rapid detection of translated open reading frames (ORFs) through a simple easy to use interface. The analysis of differential expression has been also improved via integration of DESeq2 and Anota2seq in addition to a number of other improvements of existing Trips-viz features. |
format | Online Article Text |
id | pubmed-8262740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627402021-07-08 Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data Kiniry, Stephen J Judge, Ciara E Michel, Audrey M Baranov, Pavel V Nucleic Acids Res Web Server Issue Trips-Viz (https://trips.ucc.ie/) is an interactive platform for the analysis and visualization of ribosome profiling (Ribo-Seq) and shotgun RNA sequencing (RNA-seq) data. This includes publicly available and user generated data, hence Trips-Viz can be classified as a database and as a server. As a database it provides access to many processed Ribo-Seq and RNA-seq data aligned to reference transcriptomes which has been expanded considerably since its inception. Here, we focus on the server functionality of Trips-viz which also has been greatly improved. Trips-viz now enables visualisation of proteomics data from a large number of processed mass spectrometry datasets. It can be used to support translation inferred from Ribo-Seq data. Users are now able to upload a custom reference transcriptome as well as data types other than Ribo-Seq/RNA-Seq. Incorporating custom data has been streamlined with RiboGalaxy (https://ribogalaxy.ucc.ie/) integration. The other new functionality is the rapid detection of translated open reading frames (ORFs) through a simple easy to use interface. The analysis of differential expression has been also improved via integration of DESeq2 and Anota2seq in addition to a number of other improvements of existing Trips-viz features. Oxford University Press 2021-05-05 /pmc/articles/PMC8262740/ /pubmed/33950201 http://dx.doi.org/10.1093/nar/gkab323 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Kiniry, Stephen J Judge, Ciara E Michel, Audrey M Baranov, Pavel V Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title | Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title_full | Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title_fullStr | Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title_full_unstemmed | Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title_short | Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data |
title_sort | trips-viz: an environment for the analysis of public and user-generated ribosome profiling data |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262740/ https://www.ncbi.nlm.nih.gov/pubmed/33950201 http://dx.doi.org/10.1093/nar/gkab323 |
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