EvolveAGene 3 is a realistic coding sequence simulation program that separates mutation from selection and allows the user to set selection conditions, including variable regions of selection intensity within the sequence and variation in intensity of selection over branches. Variation includes base substitutions, insertions and deletions. Output includes a log file, the true tree and both unaligned coding sequence and protein sequences and the true DNA and protein alignments
Reconstructing the evolutionary history of biological sequences will provide a better understanding ...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...
<p>“Class” includes phylogenetic (where a genealogy is already given from the user), forward, birth-...
BACKGROUND: Simulated nucleotide or amino acid sequences are frequently used to assess the performan...
Background: There is increasing demand to test hypotheses that contrast the evoluti...
Reconstructing the evolutionary history of biological sequences will provide a better understanding ...
This file was last viewed in Adobe Acrobat Pro.An ever-increasing need in phylogenetic inference ent...
BackgroundSimulating DNA evolution has been done through coevolution-agnostic probabilistic framewor...
The software AGE (Analysis of Gene Evolution) has been developed both to study a genetic reality, i....
Motivation: Microbial genomes undergo evolutionary processes such as gene family expansion and contr...
Abstract Motivation Simulating Multiple Sequence Alignments (MSAs) using probabilistic models of seq...
Background: Simulated nucleotide or amino acid sequences are frequently used to assess the performan...
Genetic algorithm (GA) is inspired by biological evolution of genetic organisms by optimizing the ge...
Many methods exist for reconstructing phylogenies from molecular sequence data, but few phylogenies ...
Reconstructing the evolutionary history of biological sequences will provide a better understanding ...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...
<p>“Class” includes phylogenetic (where a genealogy is already given from the user), forward, birth-...
BACKGROUND: Simulated nucleotide or amino acid sequences are frequently used to assess the performan...
Background: There is increasing demand to test hypotheses that contrast the evoluti...
Reconstructing the evolutionary history of biological sequences will provide a better understanding ...
This file was last viewed in Adobe Acrobat Pro.An ever-increasing need in phylogenetic inference ent...
BackgroundSimulating DNA evolution has been done through coevolution-agnostic probabilistic framewor...
The software AGE (Analysis of Gene Evolution) has been developed both to study a genetic reality, i....
Motivation: Microbial genomes undergo evolutionary processes such as gene family expansion and contr...
Abstract Motivation Simulating Multiple Sequence Alignments (MSAs) using probabilistic models of seq...
Background: Simulated nucleotide or amino acid sequences are frequently used to assess the performan...
Genetic algorithm (GA) is inspired by biological evolution of genetic organisms by optimizing the ge...
Many methods exist for reconstructing phylogenies from molecular sequence data, but few phylogenies ...
Reconstructing the evolutionary history of biological sequences will provide a better understanding ...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
The standard genetic code (SGC) is central to molecular biology and its origin and evolution is a fu...