Title :
A conceptual data model for transcriptome project pipeline
Author :
Huacarpuma, Ruben Cruz ; Holanda, Maristela T. ; Walter, Maria Emilia M T
Author_Institution :
Comput. Sci. Dept., Univ. of Brasilia, Brasilia, Brazil
Abstract :
In recent years, high-throughput sequencing techniques have been generating millions of biological sequences in genome projects. These enormous volume of data must be stored and treated in order to support biological research. In this work, we describe a model to represent, organize and structure data generated by a computational pipeline to support a trancriptome project. As a case study, we propose a conceptual model for a pipeline to manage original (untreated) and produced (processed) data of a transcriptome project which has the objective to identifying differentially expressed genes between liver and kidney RNA samples.
Keywords :
biology computing; genetics; genomics; medical computing; molecular biophysics; molecular configurations; computational pipeline; conceptual data model; gene; high-throughput sequencing technique; kidney RNA sample; liver RNA sample; transcriptome project pipeline; Bioinformatics; Biological system modeling; Data models; Genomics; Object oriented modeling; Pipelines; Unified modeling language; bioin-formatics; conceptual model; data modeling; genome project; pipeline;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112349
