RNA sequences of a gene can have single nucleotide variants (SNVs) due to single nucleotide polymorphisms (SNPs) in the genome, or RNA editing events within the RNA. By comparing RNA-seq data of a given cell type before and after a ...
Read More »Comparison and Characterisation of Mutation Calling from Whole Exome and RNA Sequencing Data
Whole exome sequencing has had low uptake in livestock species, despite allowing accurate analysis of single nucleotide variant (SNV) mutations. Transcriptomic data in the form of RNA sequencing has been generated for many livestock species and also represents a source ...
Read More »TBro – visualization and management of de novo transcriptomes
RNA sequencing (RNA-seq) has become a powerful tool to understand molecular mechanisms and/or developmental programs. It provides a fast, reliable and cost-effective method to access sets of expressed elements in a qualitative and quantitative manner. Especially for non-model organisms and ...
Read More »Predicting causal variants affecting expression using whole genome sequence and RNA-seq from multiple human tissues
Genetic association mapping produces statistical links between phenotypes and genomic regions, but identifying the causal variants themselves remains difficult. Complete knowledge of all genetic variants, as provided by whole genome sequence (WGS), will help, but is currently financially prohibitive for ...
Read More »MSProGene – integrative proteogenomics beyond six-frames and single nucleotide polymorphisms
Ongoing advances in high-throughput technologies have facilitated accurate proteomic measurements and provide a wealth of information on genomic and transcript level. In proteogenomics, this multi-omics data is combined to analyze unannotated organisms and to allow more accurate sample-specific predictions. Existing ...
Read More »The landscape of long noncoding RNAs in the human transcriptome
Long noncoding RNAs (lncRNAs) are emerging as important regulators of tissue physiology and disease processes including cancer. To delineate genome-wide lncRNA expression, researchers at the University of Michigan curated 7,256 RNA sequencing (RNA-seq) libraries from tumors, normal tissues and cell ...
Read More »Quality control method for RNA-seq using single nucleotide polymorphism allele frequency
RNA sequencing (RNA-seq) provides information not only about the level of expression of individual genes but also about genomic sequences of host cells. When we use transcriptome data with whole-genome single nucleotide polymorphism (SNP) variant information, the allele frequency can ...
Read More »Biases during read mapping can be avoided by mapping reads to two alternative genomes
Genetic variation in cis-regulatory elements is an important cause of variation in gene expression. Cis-regulatory variation can be detected by using high-throughput RNA sequencing (RNA-seq) to identify differences in the expression of the two alleles of a gene. This requires ...
Read More »Notes on: Single-cell RNA-Seq reveals dynamic, random monoallelic gene expression in mammalian cells
from mathbionerd by Melissa Wilson Sayres Brief background: We have two copies of each non-sex gene. Each version of the gene is called an allele: one inherited from your genetic mother, one from your genetic father. It is generally thought ...
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