Abstract
In this work, an annotation workflow was developed, which performs a series of annotation tasks to sequences originating from metagenomic samples, using standard bioinformatics tools and Perl scripts. The Perl scripts interact with a Mysql database in order to store all annotation results to the respective tables, thus rendering easy the quick access and querying to all data. The whole pipeline was integrated into a Galaxy server, which provides a simple and intuitive interface that allows the user to easily create, run and share workflows for large datasets.
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Pilalis, E., Ladoukakis, E., Kolisis, F.N., Chatziioannou, A. (2012). A Galaxy Workflow for the Functional Annotation of Metagenomic Samples. In: Maglogiannis, I., Plagianakos, V., Vlahavas, I. (eds) Artificial Intelligence: Theories and Applications. SETN 2012. Lecture Notes in Computer Science(), vol 7297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30448-4_31
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DOI: https://doi.org/10.1007/978-3-642-30448-4_31
Publisher Name: Springer, Berlin, Heidelberg
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