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cqn [35] is a normalization tool for RNA-Seq data, implementing the conditional quantile normalization method. EDASeq [36] is a Bioconductor package to perform GC-Content Normalization for RNA-Seq Data. GeneScissors A comprehensive approach to detecting and correcting spurious transcriptome inference due to RNAseq reads misalignment.
Normalisation of RNA-seq data accounts for cell to cell variation in the efficiencies of the cDNA library formation and sequencing. One method relies on the use of extrinsic RNA spike-ins (RNA sequences of known sequence and quantity) that are added in equal quantities to each cell lysate and used to normalise read count by the number of reads ...
DESeq2 is a software package in the field of bioinformatics and computational biology for the statistical programming language R.It is primarily employed for the analysis of high-throughput RNA sequencing (RNA-seq) data to identify differentially expressed genes between different experimental conditions.
Single-cell RNA sequencing (scRNA-Seq) provides the expression profiles of individual cells. Although it is not possible to obtain complete information on every RNA expressed by each cell, due to the small amount of material available, patterns of gene expression can be identified through gene clustering analyses. This can uncover the existence ...
Current scRNA-seq protocols involve isolating single cells and their RNA, and then following the same steps as bulk RNA-seq: reverse transcription (RT), amplification, library generation and sequencing. Early methods separated individual cells into separate wells; more recent methods encapsulate individual cells in droplets in a microfluidic ...
TopHat is an open-source bioinformatics tool for the throughput alignment of shotgun cDNA sequencing reads generated by transcriptomics technologies (e.g. RNA-Seq) using Bowtie first and then mapping to a reference genome to discover RNA splice sites de novo. [1] TopHat aligns RNA-Seq reads to mammalian-sized genomes. [2]
The programmability and sequence selectivity of these amplification cascades enable five scRNA amplifiers to operate independently at the same time in the same sample, each staining for expression of one of the five target mRNAs. Scale bar: 50 μm. Image from Choi et al. 2010; [2] used with permission of the Nature Publishing Group. Figure 3 ...
An independent comparison of single-sequence and comparative methods for RNA secondary structure prediction: Yes: No: No: AMU mirror Archived 2010-10-10 at the Wayback Machine or IIMCB mirror [184] EternaBench Database comprising the diverse high-throughput structural data gathered through the crowdsourced RNA design project Eterna Yes No No ...