is a benchmark for alignment-free inference of genome trees.
Unpack the downloaded file (tar xvfz GenomeSignatureTree.tar.gz on unix) and see
the README file for details. Please note that this is a large file (114M).
See Patil and McHardy 2013
is an algorithm and the accompanying software, which performs taxonomic sequence assignment by fast approximate determination of evolutionary neighbors from sequence similarities.
Please see Dröge et a. 2014
for details. The source code and issue tracker can be found at GitHub
We provide a set of example refpacks
for use with taxator-tk.
provides useful tools for handling short and error prone sequencing reads, e.g. produces by PAR-CLIP or HITS-CLIP. Those tools include error profile inference for an individual NGS dataset, an alignment processing pipeline based on the PARMA algorithm, combining alignments against multiple databases, simulating realistic PAR-CLIP reads and clustering aligned PAR-CLIP reads to identify RBP-bound regions.
Please see Kloetgen et al. 2015 (under review)
is a fast and accurate sequence compositional classifier based on the structured output paradigm.
It performes particularly well for taxonomic assignment of populations from novel genera,
order or higher-level clades, when limited amounts of reference data were available.
Accurate assignments could be performed based on 100 kb of training data for a sample population.
Please see Patil et al. 2011
A self-training method for the rapid reconstruction of low-ranking taxonomic bins from metagenomes. Please see Gregor et al. 2014
is the first software for the rapid detection of protein families and regions under positive selection, as well as their associated biological processes, from meta- and pangenome data. It provides an interactive result visualization for detailed comparative analyses. See GitHub
searches for dense and spatially distinct clusters of sites under positive selection on the surface of proteins.
We suggest to apply it on protein structures of viruses of yet unknown adaptive behavior.
This could identify further candidate regions that are important for host-virus interaction.
Please see Tusche et al. 2012
infer antigenic trees to resolve the antigenic impact of amino acid changes mapped to individual branches of a phylogenetic tree. For sufficiently resolved branches, this allows to quantify the antigenic impact of single amino acid changes. However, the software is also applicable to problems where a phylogenetic tree and pair-wise phenotypic distances are available.
Please see Steinbrueck and McHardy 2012