Optimized Genomics Code
Healthcare today finds itself in the midst of a dramatic transformation. Big changes are being driven in part by the converging trends: explosion in genomic data and plummeting gene sequencing cost.
Intel and the Genomics Opportunity
Intel works with industry leader experts, commercial and open-source authors of key genomic codes. They optimize top industry codes to ensure that genome processing runs as fast as possible on Intel®-based systems and clusters. We then help facilitate the release of these changes through the main distributions to maximize industry impact and ensure everyone benefits from the optimization efforts.
Our process has significantly improved the speed of key genomic programs. And, we continue to develop new hardware and system solutions to get genome sequencing and processing down to minutes instead of days.
See how Intel® technologies provide complete analytics solutions for high performance computing in personalized medicine.
A popular software package for mapping low-divergent sequences against a large-reference genome, such as the human genome.
An open-source implementation of the HMMER* protein sequence analysis suite.
An algorithm for comparing primary biological sequence information.
A software package developed at the Broad Institute to analyze next-generation sequencing data.
QIAGEN Bioinformatics* solutions deliver faster time to insight by combining powerful analytics that are able to interpret complex biological processes.
Halvade* is a MapReduce implementation of the best-practice DNA sequencing pipeline as recommended by Broad Institute.
ABySS* is an open-source de novo genome assembler for short paired-end reads.
DIDA* performs large-scale alignment tasks by distributing the indexing and alignment stages into smaller subtasks over a cluster of compute nodes.
elPrep* is a high-performance tool for preparing SAM/BAM/CRAM files for variant calling in genomic sequencing pipelines.