Genetics | |
---|---|
Traits/Genes to Location |
Genetic and physical
maps Research Genetics mapping panel Stanford mapping server |
Traits/Genes to Experimental Organisms | Jackson Laboratories |
Trait/Gene Location Database | OMIM, On-line Mendelian Inheritance in Man |
Genomic DNA Analysis | |
Sequences to Contigs | CuraTools CAP, PHRAP | Contigs to mRNA | Genscan Grail tblastn (protein query, genomic database) |
mRNA Analysis | |
DNA to Homolog | blastn, blastx, fasta |
DNA to Protein | ORF finders NCBI ORF Finder |
Protein Analysis | |
protein homologs | blastp |
conserved residues | multiple sequence alignment, clustal-w |
evolutionary history | Phylip, Paup |
blastp for linguistics | AltaVista Babelfish |
Prokaryot homologs | Clusters of Orthologous Groups |
Domains |
Pfam Prosite Prodom |
Cellular localization | Psort |
Secondary structure prediction | Consensus prediction |
Tertiary structure prediction | Swiss-Model |
Known folds | SCOP CATH, DALI |
Structure similarity search | VAST |
Bioinformatics Resources | |
GenBank, OMIM, Blast, Entrez | NCBI |
Swiss-Prot, TrEMBL, Prosite | ExPASy |
Steve Rozen, Helen J. Skaletsky (1996,1997) Primer3. Code available at http://www-genome.wi.mit.edu/genome_software/other/primer3.html
A little math
the entropy of a code S = - sum(words) prob(word) ln[prob(word)] the effective number of words = exp(S) if all N words have the same probability 1/N then the entropy = - sum(words) (1/N) ln(1/N) = ln(N) the effective number of words = exp[ln(N)] = N if only one word is used then the entropy = - sum(words) prob(word) ln[prob(word)] = 0 the effective number of words = exp[0] = 1How do organisms stack up?
Organism | Effective number of codons |
---|---|
E. coli | 51.8 |
S. cerevisiae | 52.2 |
Chloroplast, Arabadopsis thaliana | 54.2 |
Arabadopsis thaliana | 55.1 |
Mitochondrion, Homo sapiens | 46.8 |
Homo sapiens | 54.7 |
From sequence to function.
Gene expression analysis
Proteomics