The Genome Analysis Toolkit (GATK) is a popular set of programs for discovering and genotyping variants from next-generation sequencing data. The current GATK recommendation for RNA sequencing (RNA-seq) is to perform variant calling from individual ...
Read More »Cell lineage inference from SNP and scRNA-Seq data
Several recent studies focus on the inference of developmental and response trajectories from single cell RNA-Seq (scRNA-Seq) data. A number of computational methods, often referred to as...
Read More »A multiple near isogenic line (multi-NIL) RNA-seq approach to identify candidate genes underpinning QTL
This study demonstrates how identification of genes underpinning disease-resistance QTL based on differential expression and SNPs can be improved by performing transcriptomic analysis on multiple near isogenic lines.
Read More »Using RNA-Seq to develop function-associated specific trait (FAST) SNP markers for molecular plant breeding
Molecular plant breeding with the aid of molecular markers has played an important role in modern plant breeding over the last two decades. Many marker-based predictions for quantitative traits have been made to enhance parental selection, but the trait prediction ...
Read More »Halvade-RNA – a parallel, multi-node RNA-seq variant calling pipeline based on the GATK Best Practices recommendations
Given the current cost-effectiveness of next-generation sequencing, the amount of DNA-seq and RNA-seq data generated is ever increasing. One of the primary objectives of NGS experiments is calling genetic variants. While highly accurate, most variant calling pipelines are not optimized ...
Read More »Opossum – pre-processing sequencing data for reliable SNP variant detection
Identifying variants from RNA-seq (transcriptome sequencing) data is a cost-effective and versatile alternative to whole-genome sequencing. However, current variant callers do not generally behave well with RNA-seq data due to reads encompassing intronic regions. Researchers from the Wellcome Trust Centre ...
Read More »Single-cell SNP analyses and interpretations based on RNA-Seq data
Single-cell sequencing is useful for illustrating the cellular heterogeneities inherent in many intricate biological systems, particularly in human cancer. However, owing to the difficulties in acquiring, amplifying and analyzing single-cell genetic material, obstacles remain for single-cell diversity assessments such as ...
Read More »SNP calling from RNA-seq data without a reference genome
SNPs (Single Nucleotide Polymorphisms) are genetic markers whose precise identification is a prerequisite for association studies. Methods to identify them are currently well developed for model species, but rely on the availability of a (good) reference genome, and therefore cannot ...
Read More »eSNP-Karyotyping – analysis of chromosomal aberrations and recombination by allelic bias in RNA-Seq
Genomic instability has profound effects on cellular phenotypes. Studies have shown that pluripotent cells with abnormal karyotypes may grow faster, differentiate less and become more resistance to apoptosis. Previously, researchers from the Hebrew University showed that microarray gene expression profiles can ...
Read More »TRAPLINE – a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotation
Technical advances in Next Generation Sequencing (NGS) provide a means to acquire deeper insights into cellular functions. The lack of standardized and automated methodologies poses a challenge for the analysis and interpretation of RNA sequencing data. Researchers at the University ...
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