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May Affymetrix CEO, Kevin King, remarked about the role microarrays continue to play despite the advancement of new sequencing technologies, such as RNA-Seq, during their recent Q1 2011 earnings call. …a team led by Ron Davis at the Stanford Genome Technology Center, compared a custom Affy exon array to next-generation sequencing for understanding gene expression and Genome 1 identification of alternative splicing as well as infecting coding snips and non-coding transcripts.
Affymetrix’s CEO Discusses Array Results vs RNA-Seq
Jun Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression.
Paired-end RNA-Seq provides more accurate isoform abundance estimates than single end sequencing
Transcriptome Sequencing of the Chickpea (Cicer arietinum)
Jun Chickpea is an important food legume crop but lags in the availability of genomic resources. In this study, we have generated about two million high-quality sequences of average length of 372 bp using pyrosequencing technology.
RNA sequencing biases caused by random hexamer priming
Aug Researchers at UC Berkeley have shown that priming using random hexamers biases the nucleotide content of RNA-Seq reads and that this bias also affects the uniformity of the locations of the reads along expressed transcripts.
Seq answers long-standing question in evolutionary biology
Sep Morphological characters are the result of developmental gene expression. The identity of a character is ultimately grounded in the gene regulatory network directing development and thus whole-genome gene expression data can provide evidence about character identity.
Sep RNA-Seq reveals plant microRNAs regulating expression in mammals
You Are (regulated by what) You Eat!
Sep Mosquito-borne infectious diseases pose a severe threat to public health in many areas of the world. Efficient approaches are required for screening wild mosquito populations to detect known and unknown pathogens.
Seq for detecting viral agents in wild-caught insects
Jun SeqGene is an open-source software for mining next-gen sequencing datasets, focusing on post-alignment quality control, SNP and indel identification and annotation, RNA expression quantification, allele specific expression, and expression-genotying association analysis.