MeDuSa 1.6 – Multi-draft based Scaffolder

MeDuSa 1.6

:: DESCRIPTION

MeDuSa (Multi-Draft based Scaffolder) is a draft genome scaffolder that uses multiple reference genomes in a graph-based approach.

::DEVELOPER

Florence Computational Biology Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
  • Java

:: DOWNLOAD

  MeDuSa

:: MORE INFORMATION

Citation

Bioinformatics. 2015 Mar 25. pii: btv171.
MeDuSa: a multi-draft based scaffolder.
Bosi E, Donati B, Galardini M, Brunetti S, Sagot MF, Lió P, Crescenzi P, Fani R, Fondi M

MEDUSA – Selection and Visual Assessment of PCR Primer Pair

MEDUSA

:: DESCRIPTION

MEDUSA is a tool for automatic selection and visual assessment of PCR primer pairs, developed to assist large scale gene expression analysis projects.

:: DEVELOPER

Sonnhammer Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • Python

 MEDUSA

:: MORE INFORMATION

Citation

Bioinformatics. 2001 Jul;17(7):656-7.
MEDUSA: large scale automatic selection and visual assessment of PCR primer pairs.
Podowski RM, Sonnhammer EL.

MEDUSA – Motif Element Detection Using Sequence Agglomeration

MEDUSA

:: DESCRIPTION

MEDUSA (Motif Element Detection Using Sequence Agglomeration) is an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data. We use a modern large-margin machine learning approach, based on boosting, to enable feature selection from the high-dimensional search space of candidate binding sequences while avoiding overfitting.

::DEVELOPER

Leslie Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows /MacOsX
  • Matlab

:: DOWNLOAD

 MEDUSA

:: MORE INFORMATION

Citation

Learning regulatory programs that accurately predict differential expression with MEDUSA.
Kundaje A, Lianoglou S, Li X, Quigley D, Arias M, Wiggins CH, Zhang L, Leslie C.
Ann N Y Acad Sci. 2007 Dec;1115:178-202. Epub 2007 Oct 12.

Medusa 3.0 – Visualization and Clustering Analysis of Biological Network

Medusa 3.0

:: DESCRIPTION

Medusa is a java standalone application for visualization and clustering analysis of biological networks in 2D. It is highly interactive and it supports weighted and multi-edged graphs where each edge between two bioentities can represent a different biological concept. Comparing to previous versions, it is currently enriched with a variety of layout and clustering methods for more intuitive visualizations. It is easy to integrate with web application since it is offered as an applet.

::DEVELOPER

Medusa Team

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • Java

:: DOWNLOAD

 Medusa

:: MORE INFORMATION

Citation

Medusa: a simple tool for interaction graph analysis.
Hooper SD, Bork P
Bioinformatics. 2005 Dec 15; 21(24): 4432-3. Epub 2005 Sep 27; PubMed: 16188923.