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» Data parallelism in bioinformatics workflows using Hydra
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BMCBI
2010
132views more  BMCBI 2010»
13 years 8 months ago
Data structures and compression algorithms for high-throughput sequencing technologies
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
BIOINFORMATICS
2010
116views more  BIOINFORMATICS 2010»
13 years 8 months ago
A principal skeleton algorithm for standardizing confocal images of fruit fly nervous systems
Motivation: The fruit fly (Drosophila melanogaster) is a commonly used model organism in biology. We are currently building a 3D digital atlas of the fruit fly larval nervous syst...
Lei Qu, Hanchuan Peng
NEUROSCIENCE
2001
Springer
14 years 1 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
BMCBI
2010
77views more  BMCBI 2010»
13 years 8 months ago
web cellHTS2: A web-application for the analysis of high-throughput screening data
Background: The analysis of high-throughput screening data sets is an expanding field in bioinformatics. Highthroughput screens by RNAi generate large primary data sets which need...
Oliver Pelz, Moritz Gilsdorf, Michael Boutros
SC
2009
ACM
14 years 3 months ago
Highly scalable genome assembly on campus grids
Bioinformatics researchers need efficient means to process large collections of sequence data. One application of interest, genome assembly, has great potential for parallelizati...
Christopher Moretti, Michael Olson, Scott J. Emric...