Glen Stecher
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View article: MyESL: A Software for Evolutionary Sparse Learning in Molecular Phylogenetics and Genomics
MyESL: A Software for Evolutionary Sparse Learning in Molecular Phylogenetics and Genomics Open
Evolutionary sparse learning uses supervised machine learning to build evolutionary models where genomic sites loci are parameters. It uses the Least Absolute Shrinkage and Selection Operator with bi-level sparsity to connect a specific ph…
View article: MyESL: Sparse learning in molecular evolution and phylogenetic analysis
MyESL: Sparse learning in molecular evolution and phylogenetic analysis Open
Evolutionary sparse learning (ESL) uses a supervised machine learning approach, Least Absolute Shrinkage and Selection Operator (LASSO), to build models explaining the relationship between a hypothesis and the variation across genomic feat…
View article: MEGA12: Molecular Evolutionary Genetic Analysis version 12 for adaptive and green computing
MEGA12: Molecular Evolutionary Genetic Analysis version 12 for adaptive and green computing Open
We introduce the 12th version of the Molecular Evolutionary Genetics Analysis ( MEGA ) software. This latest version brings many significant improvements by reducing the computational time needed for selecting optimal substitution models a…
View article: MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing
MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing Open
We introduce the 12th version of the Molecular Evolutionary Genetics Analysis (MEGA12) software. This latest version brings many significant improvements by reducing the computational time needed for selecting optimal substitution models a…
View article: TimeTree 5: An Expanded Resource for Species Divergence Times
TimeTree 5: An Expanded Resource for Species Divergence Times Open
We present the fifth edition of the TimeTree of Life resource (TToL5), a product of the timetree of life project that aims to synthesize published molecular timetrees and make evolutionary knowledge easily accessible to all. Using the TToL…
View article: MEGA11: Molecular Evolutionary Genetics Analysis Version 11
MEGA11: Molecular Evolutionary Genetics Analysis Version 11 Open
The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for …
View article: Molecular Evolutionary Genetics Analysis (MEGA) for macOS
Molecular Evolutionary Genetics Analysis (MEGA) for macOS Open
The Molecular Evolutionary Genetics Analysis (MEGA) software enables comparative analysis of molecular sequences in phylogenetics and evolutionary medicine. Here, we introduce the macOS version of the MEGA software. This new version elimin…
View article: MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms Open
The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and L…
View article: TimeTree: A Resource for Timelines, Timetrees, and Divergence Times
TimeTree: A Resource for Timelines, Timetrees, and Divergence Times Open
Evolutionary information on species divergence times is fundamental to studies of biodiversity, development, and disease. Molecular dating has enhanced our understanding of the temporal patterns of species divergences over the last five de…
View article: MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets Open
We present the latest version of the Molecular Evolutionary Genetics Analysis (M ega ) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, M ega has been optimized for u…