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Difference between revisions of "Bioinformatics"
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* [http://www.mpiblast.org/ mpiBLAST] is a freely available, open-source, parallel implementation of [http://www.ncbi.nih.gov/blast/ NCBI BLAST]. By efficiently utilizing distributed computational resources through database fragmentation, query segmentation, intelligent scheduling, and parallel I/O, mpiBLAST improves NCBI BLAST performance by several orders of magnitude while scaling to hundreds of processors. mpiBLAST is also portable across many different platforms and operating systems. Lastly, a renewed focus and consolidation of the many codebases has positioned mpiBLAST to continue to be of high utility to the bioinformatics community. | * [http://www.mpiblast.org/ mpiBLAST] is a freely available, open-source, parallel implementation of [http://www.ncbi.nih.gov/blast/ NCBI BLAST]. By efficiently utilizing distributed computational resources through database fragmentation, query segmentation, intelligent scheduling, and parallel I/O, mpiBLAST improves NCBI BLAST performance by several orders of magnitude while scaling to hundreds of processors. mpiBLAST is also portable across many different platforms and operating systems. Lastly, a renewed focus and consolidation of the many codebases has positioned mpiBLAST to continue to be of high utility to the bioinformatics community. | ||
| − | * [http://mpihmmer.org/ MPI-HMMER] is an open source MPI implementation of the HMMER protein sequence analysis suite. The main search algorithms, hmmpfam and hmmsearch, have been ported to MPI in order to provide high throughput HMMER searches on modern computational clusters. MPI-HMMER has sophisticated I/O, a self-contained coordinator/worker model, and the easy inclusion of accelerated architectures (e.g. GP-GPUs). | + | * [http://mpihmmer.org/ MPI-HMMER] is an open source MPI implementation of the HMMER protein sequence analysis suite. The main search algorithms, hmmpfam and hmmsearch, have been ported to MPI in order to provide high throughput HMMER searches on modern computational clusters. MPI-HMMER has sophisticated I/O, a self-contained coordinator/worker model, and the easy inclusion of accelerated architectures (e.g. GP-GPUs). |
| − | *[ | + | * [https://www.broadinstitute.org/gatk/ GATK] (The Genome Analysis Toolkit) is a software package developed at the Broad Institute to analyze high-throughput sequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. |
Latest revision as of 14:13, 19 February 2015
- mpiBLAST is a freely available, open-source, parallel implementation of NCBI BLAST. By efficiently utilizing distributed computational resources through database fragmentation, query segmentation, intelligent scheduling, and parallel I/O, mpiBLAST improves NCBI BLAST performance by several orders of magnitude while scaling to hundreds of processors. mpiBLAST is also portable across many different platforms and operating systems. Lastly, a renewed focus and consolidation of the many codebases has positioned mpiBLAST to continue to be of high utility to the bioinformatics community.
- MPI-HMMER is an open source MPI implementation of the HMMER protein sequence analysis suite. The main search algorithms, hmmpfam and hmmsearch, have been ported to MPI in order to provide high throughput HMMER searches on modern computational clusters. MPI-HMMER has sophisticated I/O, a self-contained coordinator/worker model, and the easy inclusion of accelerated architectures (e.g. GP-GPUs).
- GATK (The Genome Analysis Toolkit) is a software package developed at the Broad Institute to analyze high-throughput sequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size.
