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Nicholas C. Grassly

dblp:72/672 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1997
0000-0001-6067-4507ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author

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
3 papers
Bioinformatics and computational biology · 84% Computational science and engineering · 16%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
phylogenetics
0.031997
Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997
Bi-De: an application for simulating phylogenetic processes · Comput. Appl. Biosci. 1996
PSeq-Gen: an application for the Monte Carlo simulation of protein sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology
molecular evolution
0.011997
PSeq-Gen: an application for the Monte Carlo simulation of protein sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997
Computational science and engineering › numerical simulation
monte carlo simulation
0.011997
PSeq-Gen: an application for the Monte Carlo simulation of protein sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › molecular evolution
sequence evolution simulation
0.011997
Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology
birth-and-death process model
0.011996
Bi-De: an application for simulating phylogenetic processes · Comput. Appl. Biosci. 1996
Bioinformatics and computational biology › phylogenetics
phylogenetic trees
0.011997
PSeq-Gen: an application for the Monte Carlo simulation of protein sequence evolution along phylogenetic trees · Comput. Appl. Biosci. 1997

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

monte carlo simulation · 0.0parametric bootstrap · 0.0general reversible model · 0.0molecular sequence simulation · 0.0birth-death modeling · 0.0
YearPublicationVenuePosition
1997 PSeq-Gen: an application for the Monte Carlo simulation of protein sequence evolution along phylogenetic trees
Nicholas C. Grassly, Jun Adachi, Andrew Rambaut
Comput. Appl. Biosci.1
1997 Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees
abstract
MOTIVATION: Seq-Gen is a program that will simulate the evolution of nucleotide sequences along a phylogeny, using common models of the substitution process. A range of models of molecular evolution are implemented, including the general reversible model. Nucleotide frequencies and other parameters of the model may be given and site-specific rate heterogeneity can also be incorporated in a number of ways. Any number of trees may be read in and the program will produce any number of data sets for each tree. Thus, large sets of replicate simulations can be easily created. This can be used to test phylogenetic hypotheses using the parametric bootstrap. AVAILABILITY: Seq-Gen can be obtained by WWW from http:/(/)evolve.zoo.ox.ac.uk/Seq-Gen/seq-gen.html++ + or by FTP from ftp:/(/)evolve.zoo.ox.ac.uk/packages/Seq-Gen/. The package includes the source code, manual and example files. An Apple Macintosh version is available from the same sites.
Andrew Rambaut, Nicholas C. Grassly
Comput. Appl. Biosci.2
1996 Bi-De: an application for simulating phylogenetic processes
abstract
Birth-Death (Bi-De) is an application for the Apple Macintosh which simulates the growth of phylogenetic trees using various models of lineage birth and death. The trees produced are intended to be analogous to those reconstructed from molecular sequence data. The user may define a constant birth rate and death rate or a function describing how these rates vary by time or population size. Instantaneous mass extinctions can also be simulated. The package allows the tree produced to be used as a template for the simulated evolution of molecular sequence data under a range of different transition models.
Andrew Rambaut, Nicholas C. Grassly, Sean Nee, Paul H. Harvey
Comput. Appl. Biosci.2