BOL

ikim-essen.github.io - UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment Using state of the art tools, easily extended for other viruses Tool and database updates for critical components via...

SLiM and msprime are valuable tools for genome simulation, each serving distinct but complementary purposes in population genetics research. By leveraging the strengths of both simulators with slendr, researchers can conduct robust and efficient...

Genomics is moving beyond the traditional approach of studying DNA using a single reference genome. Today, researchers are increasingly using pangenomes, which represent genetic information from multiple genomes and capture a much broader range of...

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...

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,...

Package suites gather software packages and installation tools for specific languages or platforms. We have some for bioinformatics software.

soap.genomics.org.cn - SOAPaligner/soap2 is a member of the SOAP (Short Oligonucleotide Analysis Package). It is an updated version of SOAP software for short oligonucleotide alignment. The new program features in super fast and accurate alignment for huge amounts of...

github.com - R Package to visualize alignments between two or multiple DNA sequences includinga number of functionalities to facilitate processing of alignments in PAF format. SVbyEye, an open-source R package to visualize and annotate sequence-to-sequence...

An R package for Interactive visualization and mapping of human chromosomes

https://www.rplumber.io/ - plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example. # plumber.R #* Echo back the input #* @param msg The message to echo #* @get /echo function(msg=""){...