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RNA-seq workflow: gene-level exploratory analysis and differential expression
By Jit 1171 days agomaster.bioconductor.org - Here we walk through an end-to-end gene-level RNA-seq differential expression workflow using Bioconductor packages. We will start from the FASTQ files, show how these were quantified to the reference transcripts, and prepare gene-level count...
Pathway Analysis
Last updated 3727 days ago by Rahul Agarwal Comments (2)Pathway Analysis is usually performed with aim to enrich the genes with their functional information and reveal the underlying biological mechanisms pursue by genes. Pathway Analysis is not only limited to what biological pathways a particular set...kallisto: a program for quantifying abundances of transcripts from bulk and single-cell RNA-Seq data
By Jit 2176 days ago Comments (1)pachterlab.github.io - kallisto is a program for quantifying abundances of transcripts from bulk and single-cell RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the novel idea of pseudoalignment for...RNA-Seq Analysis: A Guide for Bioinformaticians
By LEGE 15 days agoRNA-Seq analysis is a cornerstone of modern transcriptomics, offering bioinformaticians a versatile toolkit for unraveling gene expression and regulation. Mastering RNA-Seq workflows and tools empowers researchers to transform raw sequencing data...dupRadar package
By Jit 2513 days agobioconductor.org - The dupRadar package gives an insight into the duplication problem by graphically relating the gene expression level and the duplication rate present on it. Thus, failed experiments can be easily identified at a glanceIntegrated mRNA and microRNA transcriptome analysis in Strand NGS
By Strand 3429 days agoIntegrated mRNA and microRNA transcriptome analysis in Strand NGSWebinar on Fast and Accurate DNA Variant Calling on 26 Apr 2017
By Yeshodari 2803 days agoContinuing our DNA-Seq webinar series, we'll present Strand NGS v3.0 best-practices: a workflow that identifies highly accurate variants from raw reads. Our best practices workflow is twice as fast as its GATK counterpart, and results in...Surrogate Variable Analysis (SVA)
By Jit 3707 days agoThe sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment.Rcorrector: efficient and accurate error correction for Illumina RNA-seq reads
By BioStar 1783 days agogithub.com - Rcorrector has an accuracy higher than or comparable to existing methods, including the only other method (SEECER) designed for RNA-seq reads, and is more time and memory efficient. With a 5 GB memory footprint for 100 million reads, it can be run...
