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CSL

The Computational Science Laboratory investigates new algorithms for solving problems in computational biology, computational chemistry and computational physics. Emphasis is placed on finding efficient algorithms that can be run on parallel computers. The Laboratory currently uses computational resources from the Fulton Supercomputing Center. As well as 600-800 idle desktop nodes across the BYU campus that are managed by the DOGMA. Maps reads from next-generation sequencers to genomic data. The laborato...

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CSL | bioresearch.byu.edu Reviews
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The Computational Science Laboratory investigates new algorithms for solving problems in computational biology, computational chemistry and computational physics. Emphasis is placed on finding efficient algorithms that can be run on parallel computers. The Laboratory currently uses computational resources from the Fulton Supercomputing Center. As well as 600-800 idle desktop nodes across the BYU campus that are managed by the DOGMA. Maps reads from next-generation sequencers to genomic data. The laborato...
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CSL | bioresearch.byu.edu Reviews

https://bioresearch.byu.edu

The Computational Science Laboratory investigates new algorithms for solving problems in computational biology, computational chemistry and computational physics. Emphasis is placed on finding efficient algorithms that can be run on parallel computers. The Laboratory currently uses computational resources from the Fulton Supercomputing Center. As well as 600-800 idle desktop nodes across the BYU campus that are managed by the DOGMA. Maps reads from next-generation sequencers to genomic data. The laborato...

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bioresearch.byu.edu bioresearch.byu.edu
1

CSL - Papers and Technical Reports

http://bioresearch.byu.edu/papers

Provo, UT 84602-6576. Pathoscope: Species identification and strain attribution with unassembled sequencing data, Owen E. Francis, Matthew Bendall, Solaiappan Manimaran, Changjin Hong, Nathan L. Clement, Eduardo Castro-Nallar, Quinn Snell, G. Bruce Schaalje, Mark J. Clement, Keith A. Crandall, W. Evan Johnson, Genome Research 01/2013; DOI:10.1101/gr.150151.112. ScaffoldScaffolder: An Aggressive Scaffold Finishing Algorithm, Paul M. Bodily, Jared C. Price, Mark J. Clement, Quinn Snell, Proceed...Denovo Id...

2

Welcome to Adobe GoLive 5

http://bioresearch.byu.edu/proposal.html

Summary of Whiting et al. NSF award #0120718 "BIOCOMPLEXITY: Hexapod Phylogenomics - Bringing Phylogenetic Supercomputing to the Masses". PI: Michael Whiting; Co-PI's: Keith Crandall, Quinn Snell, Mark Clement (Computer Science), and David Whiting (Statistics). 1,340,000 over 5 years, beginning January 1, 2002. Sample of Reviewer Comments. Last Updated: 28 November 2001.

3

Genomic Next-generation Universal MAPper (gnumap)

http://bioresearch.byu.edu/gnumap

Skip to: page content. Links on this page. Genomic Next-generation Universal MAPper (gnumap). The Genomic Next-generation Universal MAPper. Is a program designed to accurately map sequence data obtained from next-generation sequencing machines (specifically that of Solexa/Illumina) back to a genome of any size. Was able to more accurately account for these duplicate regions. GNUMAP Users Google Group. Download the software from here. Or visit the new Johnson Lab Home Page. And the presentation is availab...

4

Pathgen - Pathway Generation Tool

http://bioresearch.byu.edu/pathgen

Content-Type: text/html; charset=ISO-8859-1. PathGen - Pathway Generation Tool. The PathGen project allows users to input source and destination genes and query the shortest path between them in KEGG and other pathway databases. The output displays the graph of the connections and allows the user to see source database information by clicking on nodes or edges in the graph. The tool can be accessed via bioresearch.byu.edu. Feedback should be submitted to: Dr. Mark Clement.

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Pathgen - Pathway Generation Tool

http://bioresearch.byu.edu/pathgen/pathgen.cgi

PathGen - Pathway Generation Tool. Enter gene names in the Gene Finder). Enter gene names in the Gene Finder). Use paths in any direction. Only use paths pointing from the start to end genes. Include Only These Genes:.

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CSL

The Computational Science Laboratory investigates new algorithms for solving problems in computational biology, computational chemistry and computational physics. Emphasis is placed on finding efficient algorithms that can be run on parallel computers. The Laboratory currently uses computational resources from the Fulton Supercomputing Center. As well as 600-800 idle desktop nodes across the BYU campus that are managed by the DOGMA. Maps reads from next-generation sequencers to genomic data. The laborato...

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