Here’s already the next paper from our group! This time in collaboration with @martinsteinegger
Accelign is a library of accelerated pairwise #SequenceAlignment #algorithms for #CUDA enabled #GPUs.
https://www.biorxiv.org/content/10.64898/2025.12.17.694868v1
#bioinformatics
#SequenceAlignment is notoriously prone to error. Our latest
#preprint offers a new tool for filtering errors out, assesses it and other filtering tools, and recommends new best practice.
https://www.biorxiv.org/content/10.64898/2025.12.01.691663v1 1/10
#MSA #alignment #phylogenetics 
GitHub - fastqe/fastqe: FASTQ sequence quality visualisation with Emoji
FASTQ sequence quality visualisation with Emoji. Contribute to fastqe/fastqe development by creating an account on GitHub.
DNA sequence alignment: An assignment for OpenMP, MPI, and CUDA/OpenCL
We present an assignment for a full Parallel Computing course. Since 2017/2018, we have proposed a different problem each academic year to illustrate various methodologies for approaching the same …
Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems
#SYCL #CUDA #oneAPI #Bioinformatics #Biology #SequenceAlignment #Package
https://hgpu.org/?p=29120
Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems
Bioinformatics and computational biology are two fields that have been exploiting GPUs for more than two decades, with being CUDA the most used programming language for them. However, as CUDA is an…
N. Metzinger
Joanna Masel
JuliaR
HGPU group