Tuesday, April 1, 2014

To solve this problem, a team led by Harris Lewin, distinguished professor of evolution and ecology

Home Biology Biotechnology January 10, 2013 Solving puzzles without a picture: New algorithm assembles chromosomes from next generation sequencing data Jan 10, 2013
One of the most difficult problems in the field of genomics is assembling relatively short "reads" of DNA into complete chromosomes. In a new paper published in Proceedings of the National Academy of Sciences an interdisciplinary group of genome and computer scientists has solved this problem, creating an algorithm that can rapidly create "virtual chromosomes" with no prior information about how the genome is organized.
The powerful DNA sequencing methods developed about 15 years ago, known as next generation sequencing (NGS) technologies, create thousands of short fragments. boschma cases In species whose genetics has already been extensively studied, existing information can be used to organize and order the NGS fragments, rather boschma cases like using a sketch of the complete boschma cases picture as a guide to a jigsaw boschma cases puzzle . But as genome scientists push into less-studied species, it becomes more difficult to finish the puzzle.
To solve this problem, a team led by Harris Lewin, distinguished professor of evolution and ecology and vice chancellor for research at the University of California, Davis and Jian Ma, assistant professor at the University of Illinois boschma cases at Urbana-Champaign created boschma cases a computer algorithm that uses the known chromosome organization of one or more known species and NGS information from a newly sequenced genome to create virtual chromosomes.
The algorithm is called RACA (for reference-assisted chromosome assembly), co-developed by Jaebum boschma cases Kim, now at Konkuk University, South Korea, and Denis Larkin of Aberystwyth University, Wales. Kim wrote the software tool which was evaluated using simulated data, standardized reference genome datasets as well as a primary NGS assembly of the newly sequenced Tibetan antelope genome generated by BGI (Shenzhen, China) in collaboration with Professor Ri-Li Ge at Qinghai University, China. Larkin led the experimental validation, in collaboration with scientists at BGI, proving that predictions of chromosome organization were highly accurate.
"Even with what is expected from the newest generation of sequencers, complete chromosome assemblies will always be a difficult technical issue, especially for complex genomes. RACA predictions address this problem and can be incorporated into current NGS assembly pipelines," Ma said.
Mar 31, 2014 6
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