Anndata objects created by analysis of 1.3 million mouse brain cells using either 40 CPU cores or 1 NVIDIA V100 GPU. These objects were used to produce Fig. 2A and Fig. S1 in the paper "Accelerating single-cell genomic analysis with GPUs"
Abstract Detecting epistasis, such as 2-SNP interac-tions, in Genome-Wide Association Studies (GWAS)...
and Shu-Dong Zhang* Background: Modern cancer research often involves large datasets and the use of ...
Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-...
Anndata objects created by analysis of 1.3 million mouse brain cells using either 40 CPU cores or 1 ...
Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the ge...
Motivation: Collecting millions of genetic variations is feasible with the advanced genotyping techn...
Technological advances in genomic analyses and computing sciences has led to a burst in genomics dat...
k-mer counting is a popular pre-processing step in many bioinformatic algorithms. KMC2 is one of the...
Abstract Background Nanopore sequencing enables porta...
The biological datasets produced as a result of high-throughput genomic research such as specificall...
The BLAST software package for sequence alignment is one of the most fundamental and widely used bio...
M.Ing. (Electrical And Electronic Engineering)Bioinformatics is one of the most rapidly advancing sc...
The emergence of personalized medicine requires being able to produce and process huge amounts of bi...
This data from 10x (5k Adult Mouse Brain Nuclei Isolated with Chromium Nuclei Isolation Kit, Single ...
Gene co-expression networks comprise one type of valuable biological networks. Many methods and tool...
Abstract Detecting epistasis, such as 2-SNP interac-tions, in Genome-Wide Association Studies (GWAS)...
and Shu-Dong Zhang* Background: Modern cancer research often involves large datasets and the use of ...
Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-...
Anndata objects created by analysis of 1.3 million mouse brain cells using either 40 CPU cores or 1 ...
Neuroimaging genomics is an emerging field that provides exciting opportunities to understand the ge...
Motivation: Collecting millions of genetic variations is feasible with the advanced genotyping techn...
Technological advances in genomic analyses and computing sciences has led to a burst in genomics dat...
k-mer counting is a popular pre-processing step in many bioinformatic algorithms. KMC2 is one of the...
Abstract Background Nanopore sequencing enables porta...
The biological datasets produced as a result of high-throughput genomic research such as specificall...
The BLAST software package for sequence alignment is one of the most fundamental and widely used bio...
M.Ing. (Electrical And Electronic Engineering)Bioinformatics is one of the most rapidly advancing sc...
The emergence of personalized medicine requires being able to produce and process huge amounts of bi...
This data from 10x (5k Adult Mouse Brain Nuclei Isolated with Chromium Nuclei Isolation Kit, Single ...
Gene co-expression networks comprise one type of valuable biological networks. Many methods and tool...
Abstract Detecting epistasis, such as 2-SNP interac-tions, in Genome-Wide Association Studies (GWAS)...
and Shu-Dong Zhang* Background: Modern cancer research often involves large datasets and the use of ...
Genome sequence analysis is central to today’s genomics research, and sequence alignment and Single-...
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