By a News Reporter-Staff News Editor at Life Science Weekly -- Fresh data on Life Science Research are presented in a new report. According to news reporting from Milwaukee, Wisconsin, by NewsRx journalists, research stated, "RNA sequencing (RNA-seq) is emerging as a critical approach in biological research. However, its high-throughput advantage is significantly limited by the capacity of bioinformatics tools."
The news correspondents obtained a quote from the research from the Medical College of Wisconsin, "The research community urgently needs user-friendly tools to efficiently analyze the complicated data generated by high throughput sequencers. We developed a standalone tool with graphic user interface (GUI)-based analytic modules, known as eRNA. The capacity of performing parallel processing and sample management facilitates large data analyses by maximizing hardware usage and freeing users from tediously handling sequencing data. The module miRNA identification' includes GUIs for raw data reading, adapter removal, sequence alignment, and read counting. The module 'mRNA identification' includes GUIs for reference sequences, genome mapping, transcript assembling, and differential expression. The module 'Target screening' provides expression profiling analyses and graphic visualization. The module 'Self-testing' offers the directory setups, sample management, and a check for third-party package dependency. Integration of other GUIs including Bowtie, miRDeep2, and miRspring extend the program's functionality. eRNA focuses on the common tools required for the mapping and quantification analysis of miRNA-seq and mRNA-seq data."
According to the news reporters, the research concluded: "The software package provides an additional choice for scientists who require a user-friendly computing environment and high-throughput capacity for large data analysis. eRNA is available for free download at https://sourceforge."
For more information on this research see: eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing. Bmc Genomics, 2014;15():176. (BioMed Central - www.biomedcentral.com/; Bmc Genomics - www.biomedcentral.com/bmcgenomics/)
Our news journalists report that additional information may be obtained by contacting T. Yuan, Dept. of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee WI 53226, United States. Additional authors for this research include X. Huang, R.L. Dittmar, M. Du, M. Kohli, L. Boardman, S.N. Thibodeau and L. Wang (see also Life Science Research).
Keywords for this news article include: Milwaukee, Wisconsin, United States, Life Science Research, North and Central America.
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC