BOL

github.com - Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs),...

Describe the GAGE workflows on RNA-Seq data pathway analysis and gene-set analysis.

amp.pharm.mssm.edu - With BioJupies you can produce in seconds a customized, reusable, and interactive report from your own raw or processed RNA-seq data through a simple user interface BioJupies now supports user accounts! Sign in from the top right corner of the page...

master.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 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...

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...

RNA-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...

bioconductor.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 glance

Meta-transcriptomics combines high-throughput sequencing technologies with computational biology to profile the RNA content of a sample.

github.com - This pipeline performs the following steps: Assembly of nanopore reads using Canu. Polish canu contigs using racon (optional). Map a paired-end Illumina dataset onto the contigs obtained in the previous steps...