Bioinformatics initially was synonymous with DNA and protein sequence data management and analysis, but now it has rapidly expanded with the rapid progress in full genome sequencing, functional genomics, pharmacogenomics, proteomics, metabolomics research, and biopathway modeling [ 3].
The authors thank Sedley Josserand, Sydney Roberts, and Jill Nelson for laboratory assistance and Mark Dasenko and Chris Sullivan for their assistance with Illumina sequencing and data management.
We thank Mariella Santoro, Amalia Mastrofrancesco, Fabio Continenza, Daniele Pizzi, Andrea Biddittu, Marzia Romani for sequencing and data management.
Currently, the approved Recommended Systems include Mutalyzer for generating systematic HGVS names for variations (1), Locus Reference Genomic (LRG) sequence format for reference sequences (2), LOVD data management system for LSDBs (3), and HGVS Nomenclature (4).
The real costs for the whole sequencing workflow, including data management and analysis, remain unknown.
RSC and JHW wrote the manuscript; TT directed the experimental work on gene verification aided by ACE; RSC carried out the phylogenetic and other sequence analyses; WAD implemented data management.
Utilization of next-generation sequencing for SNP discovery requires significant data management and analysis of sequence information.
Mark Dasenko and the staff at the Oregon State University Center for Genome Research and Biocomputing provided assistance with Illumina sequencing, and Chris Sullivan, Scott Givan (Oregon State University) and Peter Dolan (University of Minnesota-Morris) provided assistance with data management and sequence curation.
The proliferation of next generation sequencing technologies has created numerous data management and analysis issues.
