Abstract
PANDIT is a database of homologous sequence alignments accompanied by estimates of their corresponding phylogenetic trees. It provides a valuable resource to those studying phylogenetic methodology and the evolution of coding-DNA and protein sequences. Currently in version 17.0, PANDIT comprises 7738 families of homologous protein domains; for each family, DNA and corresponding amino acid sequence multiple alignments are available together with high quality phylogenetic tree estimates. Recent improvements include expanded methods for phylogenetic tree inference, assessment of alignment quality and a redesigned web interface, available at the URL http://www.ebi.ac.uk/goldman-srv/pandit.
Keywords
Affiliated Institutions
Related Publications
MISFITS: Evaluating the Goodness of Fit between a Phylogenetic Model and an Alignment
As models of sequence evolution become more and more complicated, many criteria for model selection have been proposed, and tools are available to select the best model for an a...
Protein homology detection by HMM–HMM comparison
Abstract Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. Results: We have gene...
Bayesian Phylogenetic Inference via Markov Chain Monte Carlo Methods
Summary. We derive a Markov chain to sample from the posterior distribution for a phylogenetic tree given sequence information from the corresponding set of organisms, a stochas...
The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data
The Catalytic Site Atlas (CSA) provides catalytic residue annotation for enzymes in the Protein Data Bank. It is available online at http://www.ebi.ac.uk/thornton-srv/databases/...
The ribosomal database project
The Ribosomal Database Project (RDP) is a curated database that offers ribosome data along with related programs and services. The offerings include phylogenetically ordered ali...
Publication Info
- Year
- 2005
- Type
- article
- Volume
- 34
- Issue
- 90001
- Pages
- D327-D331
- Citations
- 70
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1093/nar/gkj087