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OpenAlea
2015
Proceedings of the 27th International Conference on Scientific and Statistical Database Management - SSDBM '15
Analyzing biological data (e.g., annotating genomes, assembling NGS data...) may involve very complex and interlinked steps where several tools are combined together. Scientific workflow systems have reached a level of maturity that makes them able to support the design and execution of such in-silico experiments, and thus making them increasingly popular in the bioinformatics community. However, in some emerging application domains such as system biology, developmental biology or ecology, the
doi:10.1145/2791347.2791365
dblp:conf/ssdbm/PradalFVB15
fatcat:gyjwfkihknbqrfue34d2anit2u