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The Progenetix oncogenomic resource in 2021
In cancer, copy number aberrations (CNAs) represent a type of nearly ubiquitous and frequently extensive structural genome variations. To disentangle the molecular mechanisms underlying tumorigenesis as well as identify and characterize molecular subtypes, the comparative and meta-analysis of large...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285936/ https://www.ncbi.nlm.nih.gov/pubmed/34272855 http://dx.doi.org/10.1093/database/baab043 |
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author | Huang, Qingyao Carrio-Cordo, Paula Gao, Bo Paloots, Rahel Baudis, Michael |
author_facet | Huang, Qingyao Carrio-Cordo, Paula Gao, Bo Paloots, Rahel Baudis, Michael |
author_sort | Huang, Qingyao |
collection | PubMed |
description | In cancer, copy number aberrations (CNAs) represent a type of nearly ubiquitous and frequently extensive structural genome variations. To disentangle the molecular mechanisms underlying tumorigenesis as well as identify and characterize molecular subtypes, the comparative and meta-analysis of large genomic variant collections can be of immense importance. Over the last decades, cancer genomic profiling projects have resulted in a large amount of somatic genome variation profiles, however segregated in a multitude of individual studies and datasets. The Progenetix project, initiated in 2001, curates individual cancer CNA profiles and associated metadata from published oncogenomic studies and data repositories with the aim to empower integrative analyses spanning all different cancer biologies. During the last few years, the fields of genomics and cancer research have seen significant advancement in terms of molecular genetics technology, disease concepts, data standard harmonization as well as data availability, in an increasingly structured and systematic manner. For the Progenetix resource, continuous data integration, curation and maintenance have resulted in the most comprehensive representation of cancer genome CNA profiling data with 138 663 (including 115 357 tumor) copy number variation (CNV) profiles. In this article, we report a 4.5-fold increase in sample number since 2013, improvements in data quality, ontology representation with a CNV landscape summary over 51 distinctive National Cancer Institute Thesaurus cancer terms as well as updates in database schemas, and data access including new web front-end and programmatic data access. Database URL: progenetix.org |
format | Online Article Text |
id | pubmed-8285936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82859362021-07-19 The Progenetix oncogenomic resource in 2021 Huang, Qingyao Carrio-Cordo, Paula Gao, Bo Paloots, Rahel Baudis, Michael Database (Oxford) Database Update In cancer, copy number aberrations (CNAs) represent a type of nearly ubiquitous and frequently extensive structural genome variations. To disentangle the molecular mechanisms underlying tumorigenesis as well as identify and characterize molecular subtypes, the comparative and meta-analysis of large genomic variant collections can be of immense importance. Over the last decades, cancer genomic profiling projects have resulted in a large amount of somatic genome variation profiles, however segregated in a multitude of individual studies and datasets. The Progenetix project, initiated in 2001, curates individual cancer CNA profiles and associated metadata from published oncogenomic studies and data repositories with the aim to empower integrative analyses spanning all different cancer biologies. During the last few years, the fields of genomics and cancer research have seen significant advancement in terms of molecular genetics technology, disease concepts, data standard harmonization as well as data availability, in an increasingly structured and systematic manner. For the Progenetix resource, continuous data integration, curation and maintenance have resulted in the most comprehensive representation of cancer genome CNA profiling data with 138 663 (including 115 357 tumor) copy number variation (CNV) profiles. In this article, we report a 4.5-fold increase in sample number since 2013, improvements in data quality, ontology representation with a CNV landscape summary over 51 distinctive National Cancer Institute Thesaurus cancer terms as well as updates in database schemas, and data access including new web front-end and programmatic data access. Database URL: progenetix.org Published by Oxford University Press 2021-07-17 /pmc/articles/PMC8285936/ /pubmed/34272855 http://dx.doi.org/10.1093/database/baab043 Text en © The Author(s) 2021. Published by Oxford University Press. 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 | Database Update Huang, Qingyao Carrio-Cordo, Paula Gao, Bo Paloots, Rahel Baudis, Michael The Progenetix oncogenomic resource in 2021 |
title | The Progenetix oncogenomic resource in 2021 |
title_full | The Progenetix oncogenomic resource in 2021 |
title_fullStr | The Progenetix oncogenomic resource in 2021 |
title_full_unstemmed | The Progenetix oncogenomic resource in 2021 |
title_short | The Progenetix oncogenomic resource in 2021 |
title_sort | progenetix oncogenomic resource in 2021 |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285936/ https://www.ncbi.nlm.nih.gov/pubmed/34272855 http://dx.doi.org/10.1093/database/baab043 |
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