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RNA-seq workflow: gene-level exploratory analysis and differential expression
By Jit 1824 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 4380 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...Integrative RNA and ChIP-Seq analysis of regulatory T-cells
By Strand 4082 days agoIntegrative RNA and ChIP-Seq analysis of regulatory T-cellsWebinar on Unique Molecular Identifier (UMI)-powered Ultra-sensitive Variant Calling using Strand...
By Strand 3256 days ago Comments (1)Webinar on Unique Molecular Identifier-powered Ultra-sensitive Variant Calling using Strand NGS - Case Study by Dr. Pandurang Kolekar, Bioinformatics Engineer, Strand Life Sciences Abstract: Unique Molecular Identifiers (UMIs) are short...Understanding RNA-Seq Normalization Methods: TPM vs. FPKM vs. CPM
By Neel 665 days agoChoosing the right normalization method depends on the specific objectives of your RNA-Seq analysis. TPM’s proportionality and robustness make it the preferred choice for most applications, while CPM serves well for differential expression...dupRadar package
By Jit 3166 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 glanceAutomatic Filtering, Trimming, Error Removing and Quality Control for fastq data
By Rahul Nayak 3250 days agogithub.com - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq dataAfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good...MinION_GC: An R script to do some QC on MinION data
By Radha Agarkar 3229 days agogithub.com - Other tools focus on getting data out of the fastq or fast5 files, which is slow and computationally intensive. The benefit of this approach is that it works on a single, small, .txt summary file. So it's a lot quicker than most other things out...MIX: Combining multiple assemblies from NGS data
By Rahul Nayak 3074 days agogithub.com - Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome finishing. The proposed algorithm builds an extension graph where vertices...NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data
By Jit 2983 days agogithub.com - NextSV, a meta SV caller and a computational pipeline to perform SV calling from low coverage long-read sequencing data. NextSV integrates three aligners and three SV callers and generates two integrated call sets (sensitive/stringent) for different...
