Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

The gapped local alignment score of two random sequences follows a Gumbel distribution. If computers could estimate the parameters of the Gumbel distribution within one second, the use of arbitrary ...

In bioinformatics, multiple sequence alignment (MSA) is an NP-hard problem. Nature-inspired approaches can provide an approximate solution compared to conventional approaches. In this article, the MSA ...

Bioinformatics researchers who perform alignments of long protein sequences face a difficult choice: They can get accurate results in hours (sometimes days), or quick results if they're willing to ...

Listen to Gabor Marth explain bam.iobio and its features on the Scope Radio. (SALT LAKE CITY) - Bam.iobio is the first app of its kind that allows scientists to analyze genome sequence data on their ...

A team of researchers from the Max Planck Institutes of Developmental Biology in Tübingen and the Max Planck Computing and Data Facility in Garching develops new search capabilities that will allow to ...

In a new article, researchers explain their work on computer-assisted approaches towards surveillance and consequent design of drugs and vaccines to combat the growth and spread of the Zika virus. The ...

The recent epidemic of Zika virus infections in South and Latin America has raised serious concerns on its ramifications for the population in the Americas and spread of the virus worldwide. The Zika ...