4 papers
gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs
Bertil Schmidt, Felix Kallenborn, Alexander Wichmann +2
The continually increasing volume of DNA sequence data has resulted in a growing demand for fast implementations of core algorithms. Computation of pairwise alignments between cand…
MetaCache-GPU: Ultra-Fast Metagenomic Classification
Robin Kobus, André Müller, Daniel Jünger +2
The cost of DNA sequencing has dropped exponentially over the past decade, making genomic data accessible to a growing number of scientists. In bioinformatics, localization of shor…
WarpCore: A Library for fast Hash Tables on GPUs
Daniel Jünger, Robin Kobus, André Müller +4
Hash tables are ubiquitous. Properties such as an amortized constant time complexity for insertion and querying as well as a compact memory layout make them versatile associative d…
-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters
Hinrich B Winther, Christian Hundt, Bertil Schmidt +4
Background: Cardiac MRI derived biventricular mass and function parameters, such as end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), stroke volume (SV…