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pro vyhledávání: '"Lohit Valleru"'
Autor:
Mike Mikailov, Fu-Jyh Luo, Stuart Barkley, Lohit Valleru, Stephen Whitney, Zhichao Liu, Shraddha Thakkar, Weida Tong, Nicholas Petrick
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S14, Pp 163-169 (2017)
Abstract Background Recent breakthroughs in molecular biology and next generation sequencing technologies have led to the expenential growh of the sequence databases. Researchrs use BLAST for processing these sequences. However traditional software p
Externí odkaz:
https://doaj.org/article/5f2e64c1170b4c9991707aa86ed3d110
Autor:
Nicholas Petrick, Weida Tong, Mike Mikailov, Lohit Valleru, Zhichao Liu, Stuart Barkley, Stephen Whitney, Fu-Jyh Luo, Shraddha Thakkar
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S14, Pp 163-169 (2017)
BMC Bioinformatics
BMC Bioinformatics
Background Recent breakthroughs in molecular biology and next generation sequencing technologies have led to the expenential growh of the sequence databases. Researchrs use BLAST for processing these sequences. However traditional software paralleliz
Autor:
Fu-Jyh Luo, Yasameen Azarbaijani, Yelizaveta Torosyan, Stephen Whitney, Mike Mikailov, Lohit Valleru, Nicholas Petrick
Publikováno v:
2019 International Conference on Advances in Computing and Communication Engineering (ICACCE).
Big data analysis can exhibit significant scaling problems when migrated to High Performance Computing (HPC) clusters and/or cloud computing platforms if traditional software parallelization techniques such as POSIX multi-threading and Message Passin