Tag Archives: sequencing depth

D esigning an RNA-seq study depends critically on its specific goals, technology and underlying biology, which renders general guidelines inadequate.  A team led by researchers at IRB Barcelona have developed a Bayesian framework to customize experiments so that goals can ...

High-throughput sequencing technologies, such as the Illumina Hi-seq, are powerful new tools for investigating a wide range of biological and medical problems. Massive and complex data sets produced by the sequencers create a need for development of statistical and computational ...

RNA-seq is increasingly used to study gene expression of various organisms. While it provides a great opportunity to explore genome-scale transcriptional patterns with tremendous depth, it comes with prohibitive costs. Establishing a minimal sequencing depth for required accuracy will guide ...

This is the material for two workshops given at MSU by Titus Brown and Matt Scholz. The first workshop (Dec 4/5) was on model organism mRNAseq, and the second workshop (Dec 10/11) will be on semi-model organism mRNAseq. Both workshops ...

Guidelines for determining sequencing depth facilitate transcriptome profiling of single cells in heterogeneous populations. In recent years, single-cell RNA-seq has emerged as a powerful, new approach for characterizing the cell types present in a mixed population. These studies usually involve ...

RNA-seq has become a routine technique in differential expression (DE) identification. Scientists face a number of experimental design decisions including the sample size. The power for detecting differential expression is affected by several factors including the fraction of DE genes, ...

RNA-seq is widely used to determine differential expression of genes or transcripts as well as identify novel transcripts, identify allele-specific expression, and precisely measure translation of transcripts. Thoughtful experimental design and choice of analysis tools are critical to ensure high-quality ...

The collborators at the SEQC/MAQC-III Consortium present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference ...

Transcriptome sequencing is a powerful tool for measuring gene expression, but as well as some other technologies, various artifacts and biases affect the quantification. In order to correct some of them, several normalization approaches have emerged, differing both in the ...

from CoreGenomics by James Hadfield I’m going to start this post by saying something that may be controversial “splicing analysis is a niche, strandedness is useful in a minority of cases and that most RNA-seq users are only interested in ...