Silicon photonics manufacturing depends on accurate positioning and alignment to support device performance, testing, and ...

MitoCareX Bio completes comprehensive SLC transport protein analysis to support discovery of small molecules for hard-to-treat cancers and inflammatory metabolic diseases and enters an AI-driven small ...

Abstract: The computational techniques for nucleic acid and protein sequence comparison reduce the extensive burden of molecular biologists. The sequence alignment is one of the main research areas in ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...

The task of training deep neural networks, especially those with billions of parameters, is inherently resource-intensive. One persistent issue is the mismatch between computation and communication ...

Abstract: In this study, we design a hardware accelerator for a widely used sequence alignment algorithm, the basic local alignment search tool for proteins (BLASTP). The architecture of the proposed ...

This script works with Python 3, it takes as input a VCF file and will use the SNP genotypes to create a matrix for phylogenetic analysis in the PHYLIP (relaxed version), FASTA, NEXUS, or binary NEXUS ...

This important study addresses the problem of detecting weak similarity between protein sequences, a procedure commonly used to infer homology or assign putative functions to uncharacterized proteins.

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...