TAILIEUCHUNG - Báo cáo sinh học: "CHSMiner: a GUI tool to identify chromosomal homologous segments"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: CHSMiner: a GUI tool to identify chromosomal homologous segments. | Algorithms for Molecular Biology BioMed Central Open Access Software article CHSMiner a GUI tool to identify chromosomal homologous segments Zhen Wang1 2 Guohui Ding1 2 Zhonghao Yu3 Lei Liu 1 4 and Yixue Li 1 3 4 Address 1Key Lab of Systems Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences 320 Yueyang Road Shanghai 200031 PR China 2Graduate School of the Chinese Academy of Sciences Shanghai 200031 PR China 3College of Life Science Biotechnology Shanghai Jiao Tong University Shanghai 200240 PR China and 4Shanghai Centre for Bioinformation Technology 100 Qinzhou Road Shanghai 200235 PR China Email Zhen Wang - zwang01@ Guohui Ding - gwding@ Zhonghao Yu - yuzhonghao@ Lei Liu - leiliu@ Yixue Li - yxli@ Corresponding authors Published 15 January 2009 Received 21 September 2008 Algorithms for Molecular Biology 2009 4 2 doi l748-7l 88-4-2 Accepted 15 January 2009 This article is available from http content 4 l 2 2009 Wang et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background The identification of chromosomal homologous segments CHS within and between genomes is essential for comparative genomics. Various processes including insertion deletion and inversion could cause the degeneration of CHSs. Results Here we present a Java software CHSMiner that detects CHSs based on shared gene content alone. It implements fast greedy search algorithm and rigorous statistical validation and its friendly graphical interface allows interactive visualization of the results. We tested the software on both simulated and biological realistic data

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