数据库名称:OPENDoRM
数据库简述:Optimization of Pooled Experiments in NGS for Detection of Rare Mutations
所属国家/地区:Italy
数据库主要信息:A web resource which allows users – bioinformaticians as far as biologists – to swiftly detect Rare Mutations from Next-Generation genome Sequencing experiments. It describe the pooling of high-throughput NGS generated data using some mathematical models and identify the best number of patients in each pool with respect to minimization of the cost of the experiment.
建立年份:2016
联系信息:Contact information
University/Institution:
Institute for High Performance Computing and Networking
Address:
LabGTP (Laboratory of Genomics, Transcriptomics and Proteomics), Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Via Pietro Castellino 111, 80131 Naples, Campania Italy
City:
Naples
Province/State:
Country/Region:
Italy
Contact name (PI/Team):
Daniela Evangelista
Contact email (PI/Helpdesk):
daniela.evangelista@na.icar.cnr.it