RSS tools

TwitterFacebook
Get flash to fully experience Pearltrees
http://www.rna-seqblog.com/presentations/rna-seq-tutorial-from-the-iplant-collaborative/ Mar iPlant Collaborative is a community of researchers, educators, and students working to enrich all plant sciences through the development of cyberinfrastructure – the physical computing resources, collaborative environment, virtual machine resources, and interoperable analysis software and data services– that are essential components of modern biology.

Seq Tutorial from the iPlant Collaborative

Mar Initially we asked: Do we yet have a firm handle on the most appropriate/accurate pipeline for analysis of RNA-Seq datasets? http://www.rna-seqblog.com/reader-conributions/rna-seq-data-analysis-poll-results/

Seq Data Analysis – Poll Results

seq Workshop

http://www.rna-seqblog.com/events/rna-seq-workshop-2/ Mar An introductory course to RNA-seq INT Tumori, Milano, Italy, 28-29 March 2012
http://www.rna-seqblog.com/data-analysis/rna-seq-data-analysis-where-to-start/

RNA-Seq Data Analysis – Where To Start?

Mar In our last reader poll, we asked: Do we yet have a firm handle on the most appropriate/accurate pipeline for analysis of RNA-Seq datasets? The overwhelming result was: NO.

Modeling RNA degradation for RNA-Seq

http://www.rna-seqblog.com/information/modeling-rna-degradation-for-rna-seq/ Feb Methods for the estimation of the transcript’s abundance using RNA-Seq data have been intensively studied, many of which are based on the assumption that the short-reads of RNA-Seq are uniformly distributed along the transcripts.
http://www.rna-seqblog.com/events/leveraging-in-statistical-analysis-of-rna-seq/ Feb SPEAKER: Professor Ping Ma Department of Statistics Univ. of Illinois at Urbana-Champaign TIME & PLACE: Monday, February 20, 2012 12:00-1:00p

Leveraging in Statistical Analysis of RNA-Seq

Feb A Team of researchers from Taiwan & Denmark have performed a comprehensive profiling of the RNA editome of a male Han Chinese individual based on analysis of ~767 million sequencing reads from poly(A) + , poly(A) − and small RNA samples. Developed a computational pipeline that carefully controls for false positives while calling RNA editing events from genome and whole-transcriptome data of the same individual.

Comprehensive profile of the RNA editome

Last Month’s RNA-Seq Industry Press

Feb Feb 01, 2012 – DNA Sequencing – Technologies, Markets and Companies Applications of Sequencing in Healthcare 121 Introduction 121 Applications of sequencing in molecular diagnostics 121 Next generation sequencing for detection of solid organ transplant rejection 122 Applications of sequencing in oncology 122 A project to assess sequencing technologies for tumor DNA 123 Amplicon sequencing in…( read more ) Feb 01, 2012 – Almac Announce Launch of Next Generation Sequencing (NGS) Data Analysis Services These latest enhancements to Almac’s service portfolio include a comprehensive range of NGS solutions from professional study design to sample processing and expert data analysis for DNA and RNA samples.