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Feb Last week, Roche released a plan to take over Illumina’s Board. Roche announced that it has provided notice to Illumina, Inc. that it will nominate a slate of highly qualified, independent candidates for election to Illumina’s Board of Directors and propose certain other matters for the consideration of Illumina’s shareholders at Illumina’s 2012 annual meeting, which, if adopted, would result in Roche-nominated directors comprising a majority of the Illumina board.
Roche vs Illumina – Round 2
Looking at micro could mend broken hearts
Ribonucleic acid (RNA) could hold the key to treating heart disease. The breakthrough could lead to the development of targeted therapeutic treatments for heart disease. Professor Thomas Preiss and Dr Jennifer Clancy and their team commenced the research at Sydney’s Victor Chang Cardiac Research Institute in 2008 and completed it at The John Curtin School of Medical Research at ANU.
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 )
Last Month’s RNA-Seq Industry Press
Feb Currently available analysis tools are often not easily installed by the general biologist and most of them lack inherent parallel processing capabilities widely recognized as an essential feature of next-generation bioinformatics tools.
R-SAP – a multi-threading computational pipeline for the characterization of high-throughput RNA-sequencing data
SpliceGrapher – Detecting patterns of alternative splicing from RNA-seq data in the context of gene models and EST data
Feb SpliceGrapher is a package for creating splice graphs from RNA-Seq data, guided by gene models and EST data (when available). Features
A new approach to bias correction in RNA-Seq
Jan Researchers at the University of Washington and FHCRC have developed a new method to measure and correct for protocol-specific sequence bias for quantification of sequence abundance in RNA-Seq experiments using a simple graphical model. Their model does not rely on existing gene annotations, and model selection is performed automatically making it applicable with few assumptions.
