BOL

Every newly sequenced genome contains thousands of proteins, but identifying what each protein does is a much harder task. Among these proteins are protein kinases, important molecular regulators that control processes such as cell growth,...

Benchmarking a new metagenomic pipeline often begins with a fundamental challenge. Imagine a bioinformatician preparing to benchmark a new metagenomic pipeline. There is no shortage of real sequencing data, but one problem quickly appears: the exact...

Metagenomics is rapidly moving beyond short-read sequencing. With the increasing adoption of long-read technologies, researchers can generate more contiguous assemblies—but converting these reads into reliable metagenome-assembled genomes (MAGs)...

This idea, known as phylogenetic profiling, is the foundation of Profylo (https://github.com/MartinSchoenstein/Profylo), an open-source Python toolkit developed for comparing evolutionary profiles and discovering co-evolving genes. Profylo brings...

Viral sequences recovered from metagenomic data can be incomplete or contaminated with microbial DNA. ViralQC uses information from both DNA sequences and predicted proteins to detect contamination and estimate how complete a viral contig is.

It is enormous, billions of letters long. Some of those letters are easy to understand because they contain instructions for building proteins, the tiny machines that keep our cells alive.

Instead of showing a genome as one long, confusing sequence, it displays different genomic paths like routes on a metro map. Where sequences are shared, the paths travel together. Where genetic variation occurs, they branch into different routes...