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Big genomics data, big scientific impact: New challenges for further development of life science
Date:11/28/2012

e freed from tedious resource maintenance and management as well as counter-intuitive command-line tools. Xu said,

"Performing bioinformatics analyses becomes as easy as doing online shopping with just a few clicks." EasyGenomics offers high-speed data exchange solutions that are 10-100X faster than conventional FTP. This robust platform contains popular workflows for whole genome and exome sequencing analysis as well as RNA-seq, de novo assembly, and small RNA data analysis tools. It also provides extensive quality control statistics and various informative reports, such as reports on sequencing quality, mapping, coverage, and enrichment statistics, allowing users to access data quality, evaluate analysis performance, and identify potential issues.

GigaDB and Galaxy - Revolutionizing Data Dissemination, Organization and Analysis

GigaDB is the database of the journal GigaScience, which is a repository to host publicly available, large-scale data sets, each with a unique Digital Object Identifier (DOI) for their citation and tracking. GigaScience was launched by BGI and its publishing partner BioMed Central. It is an online, open-access and open-data journal that publishes studies involving large-scale data from the life and biomedical sciences. This big-data journal provides a new model in scientific publishing: combining article and data publication.

In the conference, Peter Li from GigaScience is presenting what can be expected from the new version of GigaDB to be released in early 2013. This newly updated database will provide a user-friendly interface for querying and downloading data sets. It currently contains over 39 data sets, many previously unpublished from the BGI, including genomic, mass spectrometry, transcriptomic, epigenomic and metagenomic data.

In addition to GigaDB, Peter says they and the CUHK-BGI Innovation Institute of Trans-omics (CBIIT) have been developing a data analysis
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Contact: Jia Liu
liujia@genomics.cn
BGI Shenzhen
Source:Eurekalert

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