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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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hace 3 años | |
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| .. | ||
| RAxML.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | hace 3 años |
| RAxML.info | ed2873b797 academic/RAxML: Added (Randomized Axelerated Maximum Likelihood). | hace 5 años |
| README | ed2873b797 academic/RAxML: Added (Randomized Axelerated Maximum Likelihood). | hace 5 años |
| References | ed2873b797 academic/RAxML: Added (Randomized Axelerated Maximum Likelihood). | hace 5 años |
| slack-desc | ed2873b797 academic/RAxML: Added (Randomized Axelerated Maximum Likelihood). | hace 5 años |
README
RAxML - Randomized Axelerated Maximum Likelihood
RAxML is a program for sequential and parallel Maximum Likelihood (ML)
based inference of large phylogenetic trees. It can also be used for
postanalyses of sets of phylogenetic trees, analyses of alignments and,
evolutionary placement of short reads.
NOTE!
The script builds single threaded and mpi versions of the executable
with Slackware's default compiler flags. You are highly encouraged to
check the script for building with other flags and optimisations. This
will dramatically speed up RAxML on modern processors.
When using RAxML please cite the following paper: A. Stamatakis:
"RAxML Version 8: A tool for Phylogenetic Analysis and Post-Analysis of
Large Phylogenies". In Bioinformatics, 2014
RAxML is a program for sequential and parallel Maximum Likelihood (ML)
based inference of large phylogenetic trees. It can also be used for
postanalyses of sets of phylogenetic trees, analyses of alignments and,
evolutionary placement of short reads.
NOTE!
The script builds single threaded and mpi versions of the executable
with Slackware's default compiler flags. You are highly encouraged to
check the script for building with other flags and optimisations. This
will dramatically speed up RAxML on modern processors.
When using RAxML please cite the following paper: A. Stamatakis:
"RAxML Version 8: A tool for Phylogenetic Analysis and Post-Analysis of
Large Phylogenies". In Bioinformatics, 2014