Search results for "Computational genomics"
showing 4 items of 4 documents
Guest Editors' Introduction to the Special Section on Algorithms in Bioinformatics
2008
Highlights of the 1st Student Symposium on Computational Genomics
2017
On 30 November 2016, over 70 junior researchers in computational biology from diverse countries met in Mainz, Germany, for the 1st Student Symposium on Computational Genomics. Overall, the symposium was a great success and featured four outstanding keynote lectures, nine selected student talks, and over 38 poster presentations. This report briefly highlights the scientific outcomes and activities of this student-driven event.
Bioinformatics and Computational Biology
2009
Bioinformatics is a new, rapidly expanding field that uses computational approaches to answer biological questions (Baxevanis, 2005). These questions are answered by means of analyzing and mining biological data. The field of bioinformatics or computational biology is a multidisciplinary research and development environment, in which a variety of techniques from computer science, applied mathematics, linguistics, physics, and, statistics are used. The terms bioinformatics and computational biology are often used interchangeably (Baldi, 1998; Pevzner, 2000). This new area of research is driven by the wealth of data from high throughput genome projects, such as the human genome sequencing pro…
Evaluation of GPU-based Seed Generation for Computational Genomics Using Burrows-Wheeler Transform
2012
Unprecedented production of short reads from the new high-throughput sequencers has posed challenges to align short reads to reference genomes with high sensitivity and high speed. Many CPU-based short read aligners have been developed to address this challenge. Among them, one popular approach is the seed-and-extend heuristic. For this heuristic, the first and foremost step is to generate seeds between the input reads and the reference genome, where hash tables are the most frequently used data structure. However, hash tables are memory-consuming, making it not well-suited to memory-stringent many-core architectures, like GPUs, even though they usually have a nearly constant query time com…