Maybe... transfer terminal?

Sounds like a fine gentleman of the Wild West.

Must be a pretty advanced sim.

Ready to EXPLODE!

Now with free camels!

"MUMmer is a modular system for the rapid whole genome alignment of finished or draft sequence. This package provides an efficient suffix tree library, seed-and-extend alignment, SNP detection, repeat detection, and visualization tools." http://sourceforge.net/projects/mummer/

"Lucy is a utility that prepares raw DNA sequence fragments for sequence assembly, possibly using the TIGR Assembler. The cleanup process includes quality assessment, confidence reassurance, vector trimming and vector removal. The primary advantage of Lucy over other similar utilities is that it is a fully integrated, stand alone program." http://www.rcc.uga.edu/applications/bioinformatics/lucy.html

"A gene finder derived from Glimmer, but developed specifically for eukaryotes. It is based on a dynamic programing algorithm that considers all combinations of possible exons for inclusion in a gene model and chooses the best of these combinations. The decision about what gene model is best is a combination of the strength of the splice sites and the score of the exons generated by an interpolated Markov model (IMM). The system has been trained for Arabidopsis thaliana, Oryza sativa (rice), and Plasmodium falciparum (the malaria parasite), and should work well on closely related organisms."

"GlimmerHMM is a new gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms to the overall mathematical framework of a GHMM, additionally it incorporates splice site models adapted from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated Markov Models for the coding and noncoding models . Currently, GlimmerHMM's GHMM structure includes introns of each phase, intergenic regions, and four types of exons (initial, internal, final, and single)." according to: http://www.genomics.jhu.edu/GlimmerHMM/

"Glimmer is a system for finding genes in microbial DNA, especially the genomes of bacteria, archaea, and viruses. Glimmer (Gene Locator and Interpolated Markov ModelER) uses interpolated Markov models (IMMs) to identify the coding regions and distinguish them from noncoding DNA. The IMM approach, described in our Nucleic Acids Research paper on Glimmer 1.0 and in our subsequent paper on Glimmer 2.0 , uses a combination of Markov models from 1st through 8th-order, weighting each model according to its predictive power. Glimmer 1.0 and 2.0 use 3-periodic nonhomogenous Markov models in their IMMs.