A SURVIV analysis of breast cancer isoforms developed at UCLA. Blue lines are associated with longer survival times, and magenta lines with shorter survival times. People with cancer are often told by their doctors approximately how long they have to ...
Read More »Featured RNA-Seq Job – Assistant Project Scientist
Job #JPF01901 LETTERS AND SCIENCE – INTEGRATIVE BIOLOGY & PHYSIOLOGY Recruitment Period Open December 17th, 2015 through January 15th, 2016 Description The Department of Integrative Biology and Physiology at the University of California, Los Angeles, seeks applicants for an Assistant ...
Read More »Wanted – RNA-Seq Bioinformaticians
Analysis of Allele Specific Expression using RNA-seq DataProject Project Start Date: Winter 2016 Project Description: Recently developed sequencing technologies allow for the identification of a higher level of expression of one copy of a chromosome compared to the other copy. ...
Read More »RASER – Reads Aligner for SNPs and Editing sites of RNA
Accurate identification of genetic variants such as single nucleotide polymorphisms (SNPs) or RNA editing sites from RNA-Seq reads is important, yet challenging, because it necessitates a very low false positive rate in read mapping. Although many read aligners are available, ...
Read More »New technologies such as RNA-Seq making it a very exciting time to be involved in science
UCLA biologists take a deep dive into ‘big data’ to research roots of disease By Beau Yarbrough, Inland Valley Daily Bulletin LOS ANGELES >> For centuries, biology was limited by the available tools. Biologists had to be able to collect, ...
Read More »RNA-Seq – A Tutorial
A Brief History of Sequencing and Gene Expression. Tag Based Sequencing Approaches Serial Analysis of Gene Expression (SAGE) Cap Analysis of Gene Expression (CAGE) Massively parallel signature sequence (MPSS)
Read More »MaLTA – a method for simultaneous transcriptome assembly and quantification from Ion Torrent RNA-Seq data
High throughput RNA sequencing (RNA-Seq) can generate whole transcriptome information at the single transcript level providing a powerful tool with multiple interrelated applications including transcriptome reconstruction and quantification. The sequences of novel transcripts can be reconstructed from deep RNA-Seq data, ...
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