CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications
By Andréa M. Matsunaga, Maurício O. Tsugawa, José A. B. Fortes. 2008 IEEE Fourth International Conference on eScience, 2008
371 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/7e39604a4b65b27da14200b23e950d350da649f5
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- 'Big data', Hadoop and cloud computing in genomics (2013, neutral): “CloudBlast Scalable BLAST in the cloud [88]”
- Parallel data processing with MapReduce: a survey (2012, methodology): “CloudBLAST parallelizes NCBI BLAST2 algorithm using Hadoop [13].”
- A data placement strategy in scientific cloud workflows (2010, neutral): “It has gained great success in the Google File System and Hadoop, as well as in scientific applications [45].”
- An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics (2010, neutral): “In other work, Andrea Matsunaga and colleagues at the University of Florida have created CloudBLAST [61], a parallelized version of the NCBI BLAST2 algorithm (BLAST 2.”