RNA-Seq differential expression work flow using DESeq2
One of the aim of RNAseq data analysis is the detection of differentially expressed genes. The package DESeq2 provides methods to test for differential expression analysis.1049 days ago
1048 days ago
k-mers tutorial - classification and taxonomy
DNA k-mers underlie much of our assembly work, and we (along with...e k-mer graphs efficiently, discard redundant data, and count them efficien...;computing and searching k-mer-based sketch search databases for all the things. But...1046 days ago
1032 days ago
A guide to machine learning for biologists
We aim to provide readers with a gentle introduction to a few key machine learning technique...scribe how different techniques may be suited to specific types of biological data, and also discuss some best p...1026 days ago
1026 days ago
1025 days ago
PaReBrick: PArallel REarrangements and BReaks identification toolkit
PaReBrick. The tool takes a collection of strains represented as a sequence of oriented synteny blocks and a phylogenetic tree as input data. It identifies rearrangements...1003 days ago
RNA-seq workflow: gene-level exploratory analysis and differential expression
Here we walk through an end-to-end gene-level RNA-seq differential expressio...ed to the reference transcripts, and prepare gene-level count datasets for downstream analysis. We will perform exploratory data analysis (EDA) for quality as...1003 days ago
966 days ago