Technology rapidly is advancing the study of genetics and the search for causes of major diseases. Analysis of genomic sequences that once took days or months now can be performed in a matter of hours. Yet, for most genetic scientists, the lack of access to computer servers and programs capable of quickly handling vast amounts of data can hinder genetic advancements. Now, a group of scientists at the University of Missouri has introduced a game changer in the world of biological research. The online, free service, RNAMiner, has been developed to handle large datasets which could lead to faster results in the study of plant and animal genomics.
"This work actually started mainly because of the demand of MU scientists," said Jianlin Cheng, an associate professor of computer science in the MU College of Engineering. "RNA sequencing is the means by which researchers use modern sequencing techniques to study RNA, or ribonucleic acid. The process has increased the speed that researchers can note the differences in gene expression among genomes—but it comes at a cost. Often, scientists must sift through incredibly large amounts of data to get to usable results. RNAMiner has cut that time drastically."
http://phys.org/news/2015-07-scientists-free-online-genetic-tool.html
[Abstract]: http://www.ncbi.nlm.nih.gov/pubmed/25902288
[Also Covered By]: http://www.news-medical.net/news/20150708/MU-scientists-develop-RNAMiner-tool-to-make-genetic-science-easier.aspx
(Score: 0) by Anonymous Coward on Thursday July 09 2015, @03:52PM
Analysis Categories:
Mapping RNA-Seq reads to reference genomes
Calculating gene expression values
Identifying differentially expressed genes
Predicting gene functions
Constructing gene regulatory networks
Species: Human, Mouse, Drosophila Melanogaster, TAIR10 Arabidopsis, Clostridium Perfringens
Criterion of identifying differentially expressed genes: p-value or q-value