Yvonne L. Chan

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dblp:68/5417 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2005

—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing

1 paper

Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Bioinformatics and computational biology › population genetics ancient DNA	0.1	1	2005	Serial SimCoal: A population genetics model for data from multiple populations and points in time · Bioinform. 2005
Bioinformatics and computational biology › population genetics › population genetics simulation coalescent simulation	0.1	1	2005	Serial SimCoal: A population genetics model for data from multiple populations and points in time · Bioinform. 2005
Bioinformatics and computational biology population genetics	0.1	1	2005	Serial SimCoal: A population genetics model for data from multiple populations and points in time · Bioinform. 2005
Bioinformatics and computational biology › population genetics › population parameter estimation demographic inference	0.0	1	2005	Serial SimCoal: A population genetics model for data from multiple populations and points in time · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

coalescent simulation · 0.1

Year	Publication	Venue	Position
2005	Serial SimCoal: A population genetics model for data from multiple populations and points in time abstract UNLABELLED: We present Serial SimCoal, a program that models population genetic data from multiple time points, as with ancient DNA data. An extension of SIMCOAL, it also allows simultaneous modeling of complex demographic histories, and migration between multiple populations. Further, we incorporate a statistical package to calculate relevant summary statistics, which, for the first time allows users to investigate the statistical power provided by, conduct hypothesis-testing with, and explore sample size limitations of ancient DNA data. AVAILABILITY: Source code and Windows/Mac executables at http://www.stanford.edu/group/hadlylab/ssc.html CONTACT: [email protected]. Christian N. K. Anderson, Uma Ramakrishnan, Yvonne L. Chan, Elizabeth A. Hadly	Bioinform.	3