RNA-seq Data Analysis with edgeR
Perform differential gene expression analysis of RNA-seq data using EdgeR
Make discoveries with your data
Recent posts
RNA-seq Data Analysis with DESeq2
Perform differential gene expression analysis of RNA-seq data using DESeq2
Create a gene counts matrix from featureCounts
Generate a gene counts matrix when featureCounts run separately on individual aligned files
Parsing and analyzing BAM files
SAMtools for manipulation of BAM files
How to Use E-utilities for Downloading Sequences from NCBI
NCBI E-utilities for downloading the single or large number of sequences from the NCBI sequence database
A guide to understanding the variant information fields in variant call format (VCF) file
VCF fields information
Gene expression units explained: RPM, RPKM, FPKM, TPM, DESeq, TMM, SCnorm, GeTMM, and ComBat-Seq
bulk and single-cell RNA-seq expression units, count normalization, formula, examples in Python, gene quantification, batch effects, and between-sample and w...
bedtools for genomics analysis
bedtools for comparative analysis of genomic datasets
How to use NCBI SRA Toolkit effectively?
Downloading FASTQ files from NCBI SRA database
UMAP dimension reduction algorithm in Python (with example)
How to reduce and visualize high-dimensional data using UMAP in Python
t-SNE in Python for visualization of high-dimensional data
t-SNE using sklearn package. This article explains the basics of t-SNE, differences between t-SNE and PCA, example using scRNA-seq data, and results interpre...
K-means Clustering in Python: Detailed Guide With Example
This article how to perform and visualize the K-means Clustering in Python