R is a language and environment for statistical computing and graphics. It is similar to the S language and environment developed at Bell Laboratories (formerly AT&T, now Lucent Technologies). R provides a wide variety of statistical and graphical techniques, and is highly extensible.
Fortran, C and C++ compilers from the Portland Group
PAUP is a leading program for performing phylogenetic analysis for bioinformatics sequences. PAUP currently runs as a single processor program. No further enhancements are suggested.
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD generally scales well on OSC platforms and offers a variety of modelling techniques. NAMD is file-compatible with AMBER, CHARMM, and X-PLOR.
MrBayes is a program for the Bayesian estimation of phylogeny. Bayesian inference of phylogeny is based upon a quantity called the posterior probability distribution of trees, which is the probability of a tree conditioned on the observations. The conditioning is accomplished using Bayes's theorem. The posterior probability distribution of trees is impossible to calculate analytically; instead, MrBayes uses a simulation technique called Markov chain Monte Carlo (or MCMC) to approximate the posterior probabilities of trees.
MINPACK is a library of Fortran routines for the solution of non-linear, multivariate minimization problems.
LS-DYNA is a general purpose finite element code for simulating complex structural problems, specializing in nonlinear, transient dynamic problems using explicit integration. LS-DYNA is one of the codes developed at Livermore Software Technology Corporation (LSTC).
Jmol is a simple molecular visualization program. It can read many file formats and can write various formats. Animations of normal modes and simulations are implemented. Jmol is an OpenScience Java application.
The Intel compilers for both C/C++ and FORTRAN.
Availability and Restrictions
Intel Compiler is available on Glenn, Oakley and Ruby Clusters. The versions currently available at OSC are:
Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descriptions of a sequence family's consensus. HMMER uses profile HMMs, and can be useful in situations like:
- if you are working with an evolutionarily diverse protein family, a BLAST search with any individual sequence may not find the rest of the sequences in the family.
- the top hits in a BLAST search are hypothetical sequences from genome projects.
- your protein consists of several domains which are of different types.
HMMER (pronounced 'hammer', as in a more precise mining tool than BLAST) was developed by Sean Eddy at Washington University in St. Louis.
HMMER is a very cpu-intensive program and is parallelized using threads, so that each instance of hmmsearch or the other search programs can use all the cpus available on a node. HMMER on OSC clusters are intended for those who need to run HMMER searches on large numbers of query sequences.