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TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology
High-throughput genomic technologies have been used to explore personal human genomes for the past few years. Although the integration of technologies is important for high-accuracy detection of personal genomic variations, no databases have been prepared to systematically archive genomes and to fac...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013693/ https://www.ncbi.nlm.nih.gov/pubmed/21051338 http://dx.doi.org/10.1093/nar/gkq1101 |
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author | Hong, Dongwan Park, Sung-Soo Ju, Young Seok Kim, Sheehyun Shin, Jong-Yeon Kim, Sujung Yu, Saet-Byeol Lee, Won-Chul Lee, Seungbok Park, Hansoo Kim, Jong-Il Seo, Jeong-Sun |
author_facet | Hong, Dongwan Park, Sung-Soo Ju, Young Seok Kim, Sheehyun Shin, Jong-Yeon Kim, Sujung Yu, Saet-Byeol Lee, Won-Chul Lee, Seungbok Park, Hansoo Kim, Jong-Il Seo, Jeong-Sun |
author_sort | Hong, Dongwan |
collection | PubMed |
description | High-throughput genomic technologies have been used to explore personal human genomes for the past few years. Although the integration of technologies is important for high-accuracy detection of personal genomic variations, no databases have been prepared to systematically archive genomes and to facilitate the comparison of personal genomic data sets prepared using a variety of experimental platforms. We describe here the Total Integrated Archive of Short-Read and Array (TIARA; http://tiara.gmi.ac.kr) database, which contains personal genomic information obtained from next generation sequencing (NGS) techniques and ultra-high-resolution comparative genomic hybridization (CGH) arrays. This database improves the accuracy of detecting personal genomic variations, such as SNPs, short indels and structural variants (SVs). At present, 36 individual genomes have been archived and may be displayed in the database. TIARA supports a user-friendly genome browser, which retrieves read-depths (RDs) and log2 ratios from NGS and CGH arrays, respectively. In addition, this database provides information on all genomic variants and the raw data, including short reads and feature-level CGH data, through anonymous file transfer protocol. More personal genomes will be archived as more individuals are analyzed by NGS or CGH array. TIARA provides a new approach to the accurate interpretation of personal genomes for genome research. |
format | Text |
id | pubmed-3013693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30136932011-01-03 TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology Hong, Dongwan Park, Sung-Soo Ju, Young Seok Kim, Sheehyun Shin, Jong-Yeon Kim, Sujung Yu, Saet-Byeol Lee, Won-Chul Lee, Seungbok Park, Hansoo Kim, Jong-Il Seo, Jeong-Sun Nucleic Acids Res Articles High-throughput genomic technologies have been used to explore personal human genomes for the past few years. Although the integration of technologies is important for high-accuracy detection of personal genomic variations, no databases have been prepared to systematically archive genomes and to facilitate the comparison of personal genomic data sets prepared using a variety of experimental platforms. We describe here the Total Integrated Archive of Short-Read and Array (TIARA; http://tiara.gmi.ac.kr) database, which contains personal genomic information obtained from next generation sequencing (NGS) techniques and ultra-high-resolution comparative genomic hybridization (CGH) arrays. This database improves the accuracy of detecting personal genomic variations, such as SNPs, short indels and structural variants (SVs). At present, 36 individual genomes have been archived and may be displayed in the database. TIARA supports a user-friendly genome browser, which retrieves read-depths (RDs) and log2 ratios from NGS and CGH arrays, respectively. In addition, this database provides information on all genomic variants and the raw data, including short reads and feature-level CGH data, through anonymous file transfer protocol. More personal genomes will be archived as more individuals are analyzed by NGS or CGH array. TIARA provides a new approach to the accurate interpretation of personal genomes for genome research. Oxford University Press 2011-01 2010-11-04 /pmc/articles/PMC3013693/ /pubmed/21051338 http://dx.doi.org/10.1093/nar/gkq1101 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hong, Dongwan Park, Sung-Soo Ju, Young Seok Kim, Sheehyun Shin, Jong-Yeon Kim, Sujung Yu, Saet-Byeol Lee, Won-Chul Lee, Seungbok Park, Hansoo Kim, Jong-Il Seo, Jeong-Sun TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title | TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title_full | TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title_fullStr | TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title_full_unstemmed | TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title_short | TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology |
title_sort | tiara: a database for accurate analysis of multiple personal genomes based on cross-technology |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013693/ https://www.ncbi.nlm.nih.gov/pubmed/21051338 http://dx.doi.org/10.1093/nar/gkq1101 |
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