Estimating differential expression of transcripts with RNA-seq by using Bayesian Inference | RNA-Seq Blog
RNA-Seq News Estimating differential expression of transcripts with RNA-seq by ... November 15, 2011kmer correction in RNASeq data for transcriptome assembly BioStar November 15, 2011rna seq mRNA|gene count data filteration BioStar November 14, 2011The SOLiD™ Community: sequences for RNA seq barcodes November 14, 2011ReCount: analysis-ready RNA-seq gene count datasets November 14, 2011Analysis of
Allele-specific gene expression by RNA-seq | RNA-Seq Blog
Variation in gene expression is thought to make a significant contribution to phenotypic diversity among individuals within populations. Although high-throughput cDNA sequencing offers a unique opportunity to delineate the genome-wide architecture of regulatory variation, new statistical methods need to be developed to capitalize on the wealth of information contained in RNA-seq data sets. Researc
Workflows for RNA-Seq data analysis | RNA-Seq Blog
The authors have developed an RNA-Seq analysis workflow for single-ended Illumina reads, termed RseqFlow. This workflow includes a set of analytic functions, such as quality control for sequencing data, signal tracks of mapped reads, calculation of expression levels, identification of differentially expressed genes and coding SNPs calling. This workflow is formalized and managed by the Pegasus Wor
Sequencing technology does not eliminate biological variability | RNA-Seq Blog
Sequencing technology does not eliminate biological variability Posted by: RNA-Seq Blog Administrator in Publications July 25, 2011 2,846 Views My thanks to a reader who pointed out this publication covering a recent topic of discussion on the RNA-Seq Blog. (see The Magic of RNA-Seq) This study found that for experiments performed with a small number of biological replicates, significant results
Bias Detection and Correction in RNA-Sequencing Data | RNA-Seq Blog
Bias Detection and Correction in RNA-Sequencing Data Posted by: RNA-Seq Blog Administrator in Publications July 20, 2011 3,109 Views High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel
Transcriptome Sequencing and De Novo Analysis for Yesso Scallop (Patinopecten yessoensis) | RNA-Seq Blog
Transcriptome Sequencing and De Novo Analysis for Yesso Scallop (Patinopecten yessoensis) Posted by: RNA-Seq Blog Administrator in Transcriptome Sequenced June 27, 2011 5,943 Views Bivalves comprise 30,000 extant species, constituting the second largest group of mollusks. However, limited genetic research has focused on this group of animals so far, which is, in part, due to the lack of genomic re
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A new normalization strategy for RNA-Seq datasets | RNA-Seq Blog
New tools for assembly and alignment – with or without a reference genome | RNA-Seq Blog
Reptilian Transcriptome V1.0 | RNA-Seq Blog
Analyzing high-throughput sequencing data for profiling microRNA expression | RNA-Seq Blog
Transcriptome Sequencing of the Oilseed Rape | RNA-Seq Blog
SeqGene - general purpose software for mining post-aligment RNA-Seq datasets | RNA-Seq Blog
Quality of RNA-Seq Data | RNA-Seq Blog
Transcriptome Sequencing of the Brazilian Water Hyacinth | RNA-Seq Blog
Transcriptome Sequencing of the Wine Grape (Vitis vinifera L.). | RNA-Seq Blog
IsoEM – a novel algorithm for inference of isoform- and gene-specific expression levels from RNA-Seq data | RNA-Seq Blog
RNA-Seq reveals gene expression and alternative splicing information | RNA-Seq Blog
Maybe, Next-Gen Sequencing and Microarrays… | RNA-Seq Blog
ExpEdit: a web server to explore human RNA editing in RNA-Seq experiments | RNA-Seq Blog
Determining Standards for RNA-Seq Data Analysis: Biological Interpretation | RNA-Seq Blog