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 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 At present, 36 individual genomes have been archived and may be displayed in the database.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...

• Type: Journal
• Year: 2011
• Where: NAR
• Authors: Dongwan Hong, Sung-Soo Park, Young Seok Ju, Sheehyun Kim, Jong-Yeon Shin, Sujung Kim, Saet-Byeol Yu, Won-Chul Lee, Seungbok Lee, Hansoo Park, Jong-Il Kim, Jeong-Sun Seo
• Keywords: Anonymous File Transfer Protocol, File Transfer Protocol, Human Genomes, NAR 2011