MS4 0.2 – Multi Scale Selector of Sequence Signatures

MS4 0.2

:: DESCRIPTION

MS4 is a method that selects among all the segments of similarity detected by the N-local decoding algorithm (Didier et al., 2007) those on which a classification of unaligned set of sequences is based.

::DEVELOPER

Claudine Devauchelle (devauchelle@genopole.cnrs.fr) @ Laboratoire de Mathématiques et Modélisation d’Évry

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows/Linux/ MacOsX
Python

:: DOWNLOAD

MS4

:: MORE INFORMATION

Citation

Eduardo Corel et al.
MS4 – Multi-Scale Selector of Sequence Signatures: An alignment-free method for classification of biological sequences
BMC Bioinformatics 2010, 11:406 doi:10.1186/1471-2105-11-406

Disperse 1.0.3 – Design of Selector Assays for Targeted Resequencing Applications

Disperse 1.0.3

:: DESCRIPTION

The Disperse project aims to develop and distribute software and data for design of selector assays for exon resequencing applications. The software consists of Java and Perl code integrated into a pipeline that performs all tasks required to transform a list of gene names to a set of selector probes targetting all exonic regions of those genes

::DEVELOPER

Disperse Team

:: SCREENSHOTS

:: REQUIREMENTS

MacOsX / Windows / Linux
Java
Perl
Blast

:: DOWNLOAD

Disperse

:: MORE INFORMATION

Citation

J. Stenberg, M. Zhang and H. Ji
Disperse–a software system for design of selector probes for exon resequencing applications
Bioinformatics (2009) 25(5): 666-667

TACITuS 0.2.0 – Transcriptomic Data Collector, Integrator, and Selector

TACITuS 0.2.0

:: DESCRIPTION

TACITuS is a portal, which deals with data pre-processing, selection and, eventually, integration of transcriptomic data coming from diverse sources, such as ArrayExpress.

::DEVELOPER

Alfredo Pulvirenti

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web browser

:: DOWNLOAD

:: MORE INFORMATION

Citation:

TACITuS: transcriptomic data collector, integrator, and selector on big data platform.
Alaimo S, Di Maria A, Shasha D, Ferro A, Pulvirenti A.
BMC Bioinformatics. 2019 Nov 22;20(Suppl 9):366. doi: 10.1186/s12859-019-2912-4.