UProC: tools for ultra-fast protein domain classification

UProC: tools for ultra-fast protein domain classification

MOTIVATION With rapidly increasing volumes of biological sequence data the functional analysis of new sequences in terms of similarities to known protein families challenges classical bioinformatics. RESULTS The ultrafast protein classification (UProC) toolbox implements a novel algorithm ('Mosaic Matching') for large-scale sequence analysis. UProC is by three orders of magnitude faster than ...

Sequence analysis UProC: tools for ultra-fast protein domain classification

Motivation: With rapidly increasing volumes of biological sequence data the functional analysis of new sequences in terms of similarities to known protein families challenges classical bioinformatics. Results: The ultrafast protein classification (UProC) toolbox implements a novel algorithm (‘Mosaic Matching’) for large-scale sequence analysis. UProC is by three orders of magnitude faster than ...

Ultra-Fast Shapelets for Time Series Classification

Time series shapelets are discriminative subsequences and their similarity to a time series can be used for time series classification. Since the discovery of time series shapelets is costly in terms of time, the applicability on long or multivariate time series is difficult. In this work we propose Ultra-Fast Shapelets that uses a number of random shapelets. It is shown that Ultra-Fast Shapele...

Sample-oriented Domain Adaptation for Image Classification

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. The conventional image processing algorithms cannot perform well in scenarios where the training images (source domain) that are used to learn the model have a different distribution with test images (target domain). Also, many real world applicat...

Statistical tools for ultra-deep pyrosequecing of fast evolving viruses