NDLI: Unidentifiable Divergence Times in Rates-across-Sites Models

Please wait, while we are loading the content...

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 13

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 12

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 11

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 10

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 9

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 8

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 7

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 6

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 5

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 4

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 3

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 2

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 1

Issue 4, October 2004

Issue 3, July 2004

Introduction of New Associate Editors

A Stochastic Downhill Search Algorithm for Estimating the Local False Discovery Rate

Constructing Splits Graphs

Improved Gapped Alignment in BLAST

Unidentifiable Divergence Times in Rates-across-Sites Models

Issue 2, April 2004

Issue 1, January 2004

Unidentifiable Divergence Times in Rates-across-Sites Models

Content Provider	ACM Digital Library
Author	Evans, Steven N. Warnow, Tandy
Abstract	The rates-across-sites assumption in phylogenetic inference posits that the rate matrix governing the Markovian evolution of a character on an edge of the putative phylogenetic tree is the product of a character-specific scale factor and a rate matrix that is particular to that edge. Thus, evolution follows basically the same process for all characters, except that it occurs faster for some characters than others. To allow estimation of tree topologies and edge lengths for such models, it is commonly assumed that the scale factors are not arbitrary unknown constants, but rather unobserved, independent, identically distributed draws from a member of some parametric family of distributions. A popular choice is the gamma family. We consider an example of a clock-like tree with three taxa, one unknown edge length, a known root state, and a parametric family of scale factor distributions that contains the gamma family. This model has the property that, for a generic choice of unknown edge length and scale factor distribution, there is another edge length and scale factor distribution which generates data with exactly the same distribution, so that even with infinitely many data it will be typically impossible to make correct inferences about the unknown edge length.
Starting Page	130
Ending Page	134
Page Count	5
File Format	PDF
ISSN	15455963
DOI	10.1109/TCBB.2004.34
Volume Number	1
Issue Number	3
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2004-07-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Index Terms- Phylogenetic inference, random effects, gamma distribution, identifiability.
Content Type	Text
Resource Type	Article
Subject	Genetics Biotechnology Applied Mathematics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Unidentifiable divergence times in rates-across-sites models

Unidentifiable divergence times in rates-across-sites models

Unidentifiable divergence times in rates-across-sites models. 2004 (1970)

Unidentifiable divergence times in rates-across-sites models (2004)

Unidentifiable divergence times in rates-across-sites models

Identifiability and inference of non-parametric rates-across-sites models on large-scale phylogenies

Identifiability of Two-Tree Mixtures for Group-Based Models

Unidentifiable divergence times in rates-across-sites models

Constructing Splits Graphs

Unidentifiable Divergence Times in Rates-across-Sites Models

Similar Documents

Unidentifiable divergence times in rates-across-sites models

Unidentifiable divergence times in rates-across-sites models

Unidentifiable divergence times in rates-across-sites models. 2004 (1970)

Unidentifiable divergence times in rates-across-sites models (2004)

Unidentifiable divergence times in rates-across-sites models

Identifiability and inference of non-parametric rates-across-sites models on large-scale phylogenies

Identifiability of Two-Tree Mixtures for Group-Based Models

Unidentifiable divergence times in rates-across-sites models

Constructing Splits Graphs

Unidentifiable Divergence Times in Rates-across-Sites Models