Detecting distant homologies on protozoans metabolic pathways using scientific workflows
| Autor: | Sérgio Manuel Serra da Cruz, Marta Mattoso, Edno Silva, Frederico Tosta, Alberto M. R. Dávila, Maria Luiza Machado Campos, Clarissa Vilela, Rafael R. C. Cuadrat, Vanessa Oliveira Batista, Diogo A. Tschoeke |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Science
Sequence Homology Genomics Library and Information Sciences Biology computer.software_genre General Biochemistry Genetics and Molecular Biology Workflow computer.programming_language business.industry InformationSystems_INFORMATIONSYSTEMSAPPLICATIONS Neglected Disease ComputingMethodologies_PATTERNRECOGNITION Sequence homology Scripting language Data mining Perl Software engineering business Genome Protozoan computer Metabolic Networks and Pathways Workflow management system Information Systems |
| Zdroj: | International Journal of Data Mining and Bioinformatics. 4:256 |
| ISSN: | 1748-5681 1748-5673 |
| DOI: | 10.1504/ijdmb.2010.033520 |
| Popis: | Bioinformatics experiments are typically composed of programs in pipelines manipulating an enormous quantity of data. An interesting approach for managing those experiments is through workflow management systems (WfMS). In this work we discuss WfMS features to support genome homology workflows and present some relevant issues for typical genomic experiments. Our evaluation used Kepler WfMS to manage a real genomic pipeline, named OrthoSearch, originally defined as a Perl script. We show a case study detecting distant homologies on trypanomatids metabolic pathways. Our results reinforce the benefits of WfMS over script languages and point out challenges to WfMS in distributed environments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|