Comparative genomics : RECOMB 2005 International Workshop, RCG 2005, Dublin, Ireland, September 18-20, 2005 ; proceedings /

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Bibliographic Details
Meeting name:	RCG 2005 (2005 : Dublin, Ireland)
Imprint:	Berlin ; New York : Springer, 2005.
Description:	1 online resource (viii, 166 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science, 0302-9743 ; 3678. Lecture notes in bioinformatics Lecture notes in computer science ; 3678. Lecture notes in computer science. Lecture notes in bioinformatics.
Subject:	Genomics -- Congresses. Gene mapping -- Statistical methods -- Congresses. Physiology, Comparative -- Congresses. Genomics. Chromosome Mapping. Computational Biology. Physiology, Comparative. Genomics. Physiology, Comparative. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11068484

Hidden Bibliographic Details
Other authors / contributors:	McLysaght, Aoife. Huson, Daniel H.
ISBN:	9783540318149 3540318143 3540289321 9783540289326
Notes:	Includes bibliographical references and index. Print version record.
Summary:	"This volume contains the papers presented at the 3rd RECOMB Comparative Genomics meeting, which was held in Dublin, Ireland, on September 18-20, 2005."
Other form:	Print version: RCG 2005 (2005 : Dublin, Ireland). Comparative genomics. Berlin ; New York : Springer, 2005 3540289321 9783540289326

Table of Contents:

Lower Bounds for Maximum Parsimony with Gene Order Data
Genes Order and Phylogenetic Reconstruction: Application to?-Proteobacteria
Maximizing Synteny Blocks to Identify Ancestral Homologs
An Expectation-Maximization Algorithm for Analysis of Evolution of Exon-Intron Structure of Eukaryotic Genes
Likely Scenarios of Intron Evolution
OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements
The Incompatible Desiderata of Gene Cluster Properties
The String Barcoding Problem is NP-Hard
A Partial Solution to the C-Value Paradox
Individual Gene Cluster Statistics in Noisy Maps
Power Boosts for Cluster Tests
Reversals of Fortune
Very Low Power to Detect Asymmetric Divergence of Duplicated Genes
A Framework for Orthology Assignment from Gene Rearrangement Data.

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