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Though PGAP is not the first case to perform pan-genome analysis in bioinformatics program, we have integrated multiple analysis sections, which will save users more time and energy.
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Using a bioinformatics approach we have identified five new potential candidate genes for NAFLD.
Using a systematic bioinformatics strategy, we have identified the most critical differences between mtRF1 and mtRF1a.
Several bioinformatics programs (pipelines) have been developed for automatic SNP mining, using different input data, computational algorithms, quality evaluation strategies, and/or output formats.
Through a bioinformatic approach, we have identified Xenopus homologs for most human MMPs.
Since miRNA precursors have distinctive secondary structures, many bioinformatics programs have been developed to predict new miRNAs based on sequencing of a sRNA in a library and inspection of the genome sequence containing this sequence for putative miRNA precursors [ 40- 42].
Students at RIT in the bioinformatics program had the background to do well in the course as did the biotechnology and biology students.
The feasibility of using massive computational devices to enhance the performance of many bioinformatics programs has received considerable attention in recent years, especially many-core devices such as FPGAs [ 7– 9], Cell/BEs [ 10– 12], and GPUs [ 13].
Based on this motivation and our previous experiences in bioinformatics and distributed scientific workflows, we have created a Kepler suite called “bioKepler⠀(biokepler.org), that facilitates the development of Kepler workflows for integrated execution of bioinformatics applications in distributed environments.
Several bioinformatic programs have been designed on the basis of this characteristic.
"We have a program.
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