Protein database searches using compositionally adjusted substitution matrices
Kewl you should come up with that. Execllent!
[edit] Compositional distance
Distance metric for two probability distributions:
Failed to parse (Cannot write to or create math temp directory): D^2(\vec{r},\vec{s}) = \frac{1}{2} \sum_{i} (r_{i} ln \frac{2 r_i}{r_i + s_i} + s_{i} ln \frac{2 s_i}{r_i + s_i})
- Compositional adjustment is on average preferred for two sequences if their compositions Failed to parse (Cannot write to or create math temp directory): \vec{r}
and Failed to parse (Cannot write to or create math temp directory): \vec{s}
have a distance D less than 0.16
- NOTE: they cite a paper for this metric.
Facts about Protein database searches using compositionally adjusted substitution matricesRDF feed
| Date published | 15 October 2005 + |
| Has author | Stephen F. Altschul +, John C. Wootton +, E. Michael Gertz +, Richa Agarwala +, Aleksandr Morgulis +, Alejandro A. Schäffer +, and Yi-Kuo Yu + |
| Paper topic | Substitution matrices + |
| PubMed ID | 16,218,944 + |
| Published in | The FEBS Journal + |
| Title | Protein database searches using compositionally adjusted substitution matrices + |