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A primer for generating and using transcriptome data and gene sets
Transcriptomic approaches have provided a growing set of powerful tools with which to study genome-wide patterns of gene expression. Rapidly evolving technologies enable analysis of transcript abundance data from particular tissues and even single cells. This Primer discusses methods that can be use...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774889/ https://www.ncbi.nlm.nih.gov/pubmed/33361089 http://dx.doi.org/10.1242/dev.193854 |
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author | Cockrum, Chad Kaneshiro, Kiyomi R. Rechtsteiner, Andreas Tabuchi, Tomoko M. Strome, Susan |
author_facet | Cockrum, Chad Kaneshiro, Kiyomi R. Rechtsteiner, Andreas Tabuchi, Tomoko M. Strome, Susan |
author_sort | Cockrum, Chad |
collection | PubMed |
description | Transcriptomic approaches have provided a growing set of powerful tools with which to study genome-wide patterns of gene expression. Rapidly evolving technologies enable analysis of transcript abundance data from particular tissues and even single cells. This Primer discusses methods that can be used to collect and profile RNAs from specific tissues or cells, process and analyze high-throughput RNA-sequencing data, and define sets of genes that accurately represent a category, such as tissue-enriched or tissue-specific gene expression. |
format | Online Article Text |
id | pubmed-7774889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77748892021-12-23 A primer for generating and using transcriptome data and gene sets Cockrum, Chad Kaneshiro, Kiyomi R. Rechtsteiner, Andreas Tabuchi, Tomoko M. Strome, Susan Development Primer Transcriptomic approaches have provided a growing set of powerful tools with which to study genome-wide patterns of gene expression. Rapidly evolving technologies enable analysis of transcript abundance data from particular tissues and even single cells. This Primer discusses methods that can be used to collect and profile RNAs from specific tissues or cells, process and analyze high-throughput RNA-sequencing data, and define sets of genes that accurately represent a category, such as tissue-enriched or tissue-specific gene expression. The Company of Biologists Ltd 2020-12-23 /pmc/articles/PMC7774889/ /pubmed/33361089 http://dx.doi.org/10.1242/dev.193854 Text en © 2020. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/4.0This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Primer Cockrum, Chad Kaneshiro, Kiyomi R. Rechtsteiner, Andreas Tabuchi, Tomoko M. Strome, Susan A primer for generating and using transcriptome data and gene sets |
title | A primer for generating and using transcriptome data and gene sets |
title_full | A primer for generating and using transcriptome data and gene sets |
title_fullStr | A primer for generating and using transcriptome data and gene sets |
title_full_unstemmed | A primer for generating and using transcriptome data and gene sets |
title_short | A primer for generating and using transcriptome data and gene sets |
title_sort | primer for generating and using transcriptome data and gene sets |
topic | Primer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774889/ https://www.ncbi.nlm.nih.gov/pubmed/33361089 http://dx.doi.org/10.1242/dev.193854 |
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