by Stuart Davis | Sep 5, 2023 | Bioinformatics
The Problem Bioinformatics has hit a ceiling. There are only three ways to analyze the volume of genomic data being produced in the world’s research labs by today’s modern sequencers from Illumina and newer instrument manufacturers such as Element...
by Amit | Jul 27, 2023 | Bioinformatics
NGS Data Analysis Bottlenecks One of the biggest bottlenecks in next generation sequencing (NGS) today is data analysis, which is surprising, considering that we have massive compute available at our fingertips, the available infrastructure to process thousands of...
by Rohan Sharma | May 31, 2023 | Bioinformatics
Introduction Cell and gene therapy have emerged as promising approaches for the treatment of various diseases. These innovative therapies involve manipulating cells or genes to restore or enhance their function. Next-Generation Sequencing (NGS) plays a crucial role in...
by Rohan Sharma | May 16, 2023 | Bioinformatics
How to Analyze Single-Cell RNA Sequencing Data: A Comprehensive Guide Introduction 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...
by Amit | Apr 18, 2023 | Bioinformatics
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...
by Amit | Apr 6, 2023 | Bioinformatics
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,...
