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...
Imagine looking through thousands of microbial genomes and discovering two genes that repeatedly appear together. The obvious conclusion is that they must somehow be connected—that perhaps they work together, participate in the same pathway, or...
A recent study by Webster and Chapman introduces Buscogeny, an open-source bioinformatics pipeline designed to make this process easier. The tool uses BUSCO (Benchmarking Universal Single-Copy Orthologs), which identifies conserved genes that are...
If you're looking for bioinformatics recommendations, here are some good areas and tools to explore:
Sequence analysis: BLAST, Clustal Omega, MUSCLEPhylogenetics: MEGA, IQ-TREE, RAxMLRNA-seq analysis: FastQC, STAR, HISAT2, DESeq2Genome analysis:...
A recent study published in PLOS Computational Biology introduces REvolutionH-tl 2.0 (https://pypi.org/project/revolutionhtl/), a computational tool designed to help solve this mystery. The software analyzes protein sequences and identifies...
This question led to the AlphaGenome Atlas (https://deepmind.google.com/science/alphagenome/atlas?), a detailed map of nearly every possible single-letter change in the human genome. Instead of checking each change one by one, researchers can use...
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.
When scientists find an AMR gene, it shows that resistance exists. However, it does not always reveal where the gene is or what is around it. This genetic context can give important clues about how resistance genes work, change over time, and...
Imagine waking up one day and realizing that somewhere in a laboratory, a scientist is reading the DNA of a whale. Somewhere else, another team is sequencing a rare plant, while researchers in India are decoding the genomes of diverse human...
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...
Imagine comparing humans and chimpanzees to discover which genes make us different. You have millions of RNA-sequencing reads—but there is a catch: the computer may align these reads more easily to one species' genome than the other.
Developed by Jérôme Arnoux and colleagues, PANORAMA is a computational tool designed to explore bacterial pangenomes—the complete collection of genetic possibilities found across a species or group of related organisms. Instead of looking at every...