Bioinformatics is the foundation of modern research, translating complex biological data into actionable insights by combining biology, computer science, and data analysis. Selecting the right ...

NGS enables the in-depth analysis of the genome and the identification and investigation of disease-associated variants–especially when workflows include target enrichment, which focuses on specific ...

Simplified and accelerated research workflow including high-quality DNA extraction kits, library preparation for whole genome metagenomics, and user-friendly bioinformatics analysis // Workflow ...

A team of researchers recently developed a bioinformatics approach to analyze viral phylogenetic clusters and posted their findings to the bioRxiv* preprint server. This news article was a review of a ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Historical introduction and overview -- Collecting and storing sequences in the laboratory -- Alignment of pairs of sequences -- Introduction to probability and statistical analysis of sequence ...

“I’m a virologist at heart,” Lefkowitz said. “I’ve always been a virologist. And as much as computational work drives what I do, I do it because of my interest in biology, especially in viruses.” ...

Melyssa Minto (left) is an omics researcher and bioinformatics scientist at RTI International (NC, USA), where she uses multiomic data to understand how the central dogma of biology – the way genetic ...