This repository includes code for SEPP, TIPP, UPP, HIPPI. The three methods use ensembles of Hidden Markov Models (HMMs) in different ways, each focusing on a different problem.
Each of these related tools has its own README file.
- SEPP stands for "SATe-enabled Phylogenetic Placement", and addresses the problem of phylogenetic placement of short reads into reference alignments and trees.
- UPP stands for "Ultra-large alignments using Phylogeny-aware Profiles", and addresses the problem of alignment of very large datasets, potentially containing fragmentary data. UPP can align datasets with up to 1,000,000 sequences.
- HIPPI stands for "Highly Accurate Protein Family Classification with Ensembles of HMMs", and addresses the problem of classifying query sequences to protein families.
- TIPP stands for "Taxonomic Identification and Phylogenetic Profiling", and addresses the problem of taxonomic identification and abundance profiling of metagenomic data. We have moved TIPP to be a separate package from SEPP. TIPP package can be accessed here.
NOTE: All these programs heavily rely on HMMER. Please cite HMMER when citing these tools as well and mention the version of the HMMER used.
SEPP, TIPP, UPP, HIPPI are under active research development at UIUC by the Warnow Lab and former student Siavash Mirarab (now at UCSD). Please report any errors on the GitHub issues page.