Latest News

MISSEL: Multiple Sub Sequences Extractor for cLassification

November 2015

A new feature selection algorithm that is able to extract alternative and equivalent classification models has been released.

CAMUR: Classifier with Alternative and MUltiple Rule-based models

October 2015

A new classification technique that is able to compute multiple rule-based models has been developed.

LAF: Logic Alignment Free

April 2015

A new section and software for classifying biological sequences with alignment free techniques and rule based supervised methods.

BLOG - Barcoding with LOGic formulas

BLOG is a application devoted to the automatic classification of animal species through the analysis of a small portion of mitochondrial DNA, DNA Barcode. The application is described in detail in Bertolazzi, Felici, Weitschek Learning to classify species with barcodes. To run BLOG, you must provide a training set of barcodes (650 sites with A, C, G, T) and the species to which each barcode belongs. Then, logic formulas are extracted from the training data and a test set of one of more barcode is classified according to these formulas.
The input files are standard FASTA barcode sequences, described here.
The parameters needed for the correct running of BLOG are:

Train File - A FASTA file to train BLOG
Test File - A FASTA file containing query sequences that require identification

Otherwise BLOG can accept a single FASTA file; It will create a train file of almost the 80% of the FASTA sequences, and a train file with the remaining sequences.

You can find diverse offline versions of BLOG here.