Blog
A Comprehensive Guide to Analyze Single-Cell RNA Sequencing Data
How to Analyze Single-Cell RNA Sequencing Data: A Comprehensive GuideIntroduction The first step in analyzing scRNA-seq data is to understand the biology behind the experiment. scRNA-seq generates gene expression data for each cell, which can be used to identify cell...
Achieving data provenance with Basepair’s automated audit trails
When Auditing goes wrong Is your genomics team keeping track of the open source tools it’s using? What about software version numbers and the parameters being set? Genome reference files, usage logs, the custom scripts bioinformaticians are deploying? If you’re not...
Visualizing your NGS results with Basepair
Writers write, painters paint, genomics researchers… wait patiently for bioinformatics pipelines to finish processing NGS data, only to spend as much time visualizing results? As long-time researchers and bioinformaticians, we’re well aware that in NGS data analysis,...
Pathway Enrichment Analysis for ChIP-seq Data
As you may already know, Basepair offers a number of very popular tools for ChIP-seq analysis, seamlessly taking your FASTQ files to meaningful results. From trimming and alignment, peak calling and annotation, to motif enrichment and now, pathway enrichment analysis...
An Overview of Variant Calling and Analysis in NGS Data
Introduction In recent years, Next-Generation Sequencing (NGS) technologies have revolutionized the field of genomics, enabling researchers to study the genomes of organisms with unprecedented speed and accuracy. However, the large amounts of data generated by these...
Best Practices for Quality Control and Pre-processing of NGS Data: A Guide for Academic Researchers
As academic researchers, we know that the analysis of next-generation sequencing (NGS) data can be complex and time-consuming. The quality of NGS data directly affects the accuracy of downstream analyses, making it essential to ensure that high-quality data is...