Data Analysis

Comparison of Computational Methods for Identification of Allele-Specific Expression based on Next Generation Sequencing Data

rna-seq

Allele-specific expression (ASE) studies have wide-ranging implications for genome biology and medicine. Whole transcriptome RNA sequencing (RNA-Seq) has emerged as a genome-wide tool for identifying ASE, but suffers from mapping bias favoring reference alleles. Two categories of methods are adopted ...

Read More »

HSDB – Thoroughbred Horse Single Nucleotide Polymorphism and Expression Database

Genetics is important for breeding and selection of horses but there is a lack of well-established horse-related browsers or databases. In order to better understand horses, more variants and other integrated information are needed. Researchers at Hankyong National University, Korea ...

Read More »

Pegasus – a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer

rna-seq

The extraordinary success of imatinib in the treatment of BCR-ABL1 associated cancers underscores the need to identify novel functional gene fusions in cancer. RNA sequencing offers a genome-wide view of expressed transcripts, uncovering biologically functional gene fusions. Although several bioinformatics ...

Read More »

Brain RNA-Seq – An RNA-Sequencing Transcriptome and Splicing Database

rna-seq

The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, a team led by researchers at the Stanford University ...

Read More »

OncoRep: An n-of-1 reporting tool to support genome-guided treatment for breast cancer patients using RNA-sequencing

rna-seq

Breast cancer comprises multiple tumor entities associated with different biological features and clinical behaviors, making individualized medicine a powerful tool to bring the right drug to the right patient. Next generation sequencing of RNA (RNA-Seq) is a suitable method to ...

Read More »

RVboost: RNA-Seq variants prioritization using a boosting method

rna-seq

RNA-Seq has become the method of choice to quantify genes and exons, discover novel transcripts, and detect fusion genes. However, reliable variant identification from RNA-Seq data remains challenging due to the complexities of the transcriptome, the challenges of accurately mapping ...

Read More »

MIRPIPE – quantification of microRNAs in niche model organisms

rna-seq

MicroRNAs represent an important class of small non-coding RNAs regulating gene expression in eukaryotes. Present algorithms typically rely on genomic data to identify miRNAs and require extensive installation procedures. Niche model organisms lacking genomic sequences cannot be analyzed by such ...

Read More »

Study finds RNA-Seq, like microarrays, only accurate for relative expression, not absolute quantitation

rna-seq

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 ...

Read More »

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

rna-seq

The concordance of RNA-sequencing (RNA-seq) with microarrays for genome-wide analysis of differential gene expression has not been rigorously assessed using a range of chemical treatment conditions. Here a team led by researchers atuse at the US FDA comprehensive study design ...

Read More »

Qlucore Omics Explorer Makes RNA-Seq Analysis Simple

rna-seq

RNA-seq data can now be analyzed just as easily as microarray data In recent years, transcriptomic profiling via next generation sequencing (RNA-seq) has emerged as both a technical and cost-effective alternative to arrays. Qlucore Omics Explorer 3.0 supports direct import ...

Read More »