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Medusa is an interaction viewer and editor, based around a small C code framework. It
features an intuitive graphical interface, where nodes, edges and their associated attributes
can be defined in an easy-to-read and easy-to-write text format. The Medusa framework is in C++ and has been designed with ease of development and re-use in mind. For data storage and computation, a MySQL database is used. The interface has been designed to allow users to load their own files (e.g..cyf,.xml,.sif,.sgm,.xmldb,.gml,.dawg, etc) or upload or select from the native Medusa file format. It then connects to the database to get the original data. Once the original data is loaded, the standard visual features of the interface are used to review and manipulate the data. Nodes and edges can then be added, removed or edited. The additions and alterations can be saved in the text format. A flexible and very user friendly interface is used to quickly browse and manipulate all the information about a node and its connections. The user is provided with a node editor where node names can be altered, as well as a node attribute editor. The edges are similarly organised in an edge editor, where the edges can be added, deleted or edited. The user can also manipulate the attributes associated with each edge (e.g. support, confidence etc). Finally, the ability to browse and manage the source and destination nodes is also provided. The toolkit provides functions to create a directed graph. This can then be browsed and manipulated as any other graph.
You can also use Medusa as a general graph editor and viewer. The data is loaded and visualised using the native interface, and then edited and visualised using the other interfaces. The final visualisation is saved in the native interface. The data can be saved in a file for later use, or stored in the MEDUSA database.
SH Medusa Cracked 2022 Latest Version
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User Manual:
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Medusa Manual:
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SH MEDUSA
SH Medusa Example:
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(root node)
| 3: node (9) (
| *subnet: node (6)
| *subnet: node (5)
| *subnet: node (7)
|

SH Medusa Crack+ [March-2022]

Medusa is a free, easy to use, interactive graph viewer and editor for the STRING database. STRING is an important central repository of protein interaction data.
Medusa allows a user to create and edit his/her own protein interaction networks. This could be useful if the user has his/her own custom set of data for STRING or simply wants to have an enhanced graphical view of the STRING data.
Currently Medusa supports one-mode networks only. This means that a protein may only have one STRING interaction with another protein and this interaction may be between the proteins themselves or between a protein and another gene product (multi-mode interactions are planned for future versions).
In addition to viewing the networks on a standalone user interface, Medusa also allows browsing and visualizing of networks and interacting nodes in other graph viewers such as Pajek and Gephi. We hope that Medusa will be useful to many people.

SH HUGO Gene Nomenclature Committee Nomenclature
Version 16 (the latest version as of Oct. 2008):
Description: A database of human genes and transcripts. An
entry in the database consists of a human gene or transcript identifier (assigned
by HUGO), name, gene symbol and approved symbol. The HUGO nomenclature
committee consists of representative members of the Human Genome
Project, the National Human Genome Research Institute and the
University of California at Davis. It was established in 1980 by the
US National Institutes of Health (NIH) in conjunction with the Human
Genome Science Committee of the United States National Academy of
Sciences (NAS) and is a part of the HUGO program. The group has
consistently aimed to unify the nomenclature of genes and to avoid
over-nomenclature.

SH PharmGKB (for pharmacogenetics)
Description:
An integrated pharmacogenetics and pharmacogenomics knowledge base.
It is intended to organize pharmacogenetics information about the
human genome.
The information that is stored, along with the web pages that are
stored, includes links to other resources of pharmacogenetics and
pharmacogenomics information on the Web. The data is structured by
Allele Frequency in normal populations and/or in populations of
patients.
While much of the information in PharmGKB is based on currently
available data
2f7fe94e24

SH Medusa

——————————–

Medusa is a 2D visualisation of an interaction graph (eg: GRAPHML). Each node stands for a gene in a given organism, and each edge for a STRING interaction (or relationship in STRING). Edges are typically linked by an arrow and directed towards the input node. Nodes can be added to, removed from, or dragged. Different visual attributes can be applied to each of these nodes (eg: colour, size, shape, opacity,…). You can zoom-in or zoom-out the graph interactively, re-position nodes, add or remove nodes at runtime and more.

This application is able to export the interaction graph as a GraphViz sgraph.

================================

This functionality has been tested on Windows XP, 7, 8, 8.1 and Ubuntu 12.04.

Processor: Intel® Core2 Duo CPU P8600 @ 2.13GHz, 4GB RAM.

Platform: Ubuntu 12.04 32-bit.

Apache Tomcat 7.0.26.

Medusa was written in Java using Java Swing.

====================================================

Related projects:
—————-

Medusa is another of the many projects available from the Medusa project under but more can be found here:

====================================================

License:
———

Medusa is released under the GNU Lesser General Public License (LGPL), version 3.0.

This project contains contributions from other developers for whom any contribution is appreciated.

INTRODUCTION
============

Medusa is a Java Graph Analysis Tool developed by ETHZ to visualize protein-protein interactions (PPI) extracted from STRING (the Database of Interacting Proteins).

This tutorial will be covering the basics of Medusa v2.2.9.1. It is recommended that you read the user manual first as the interface has some significant changes compared to version 2.2.8.0.

====================================================

Datasets:
———

The STRING PPI dataset is considered complete as of November 2013. It is therefore recommended that you download the STRING Dataset from When using the STRING dataset, a license is needed

What’s New In?

Medusa is an interaction graph viewer and editor. A Graph is composed of nodes and edges, where edges indicate an interaction between two nodes.
Medusa is a front end (interface) to the STRING protein interaction database. It is also a general graph visualization tool.
The STRING web interface, while extensive, is static. It does not allow users to create their own networks, enhanced with STRING interactions.
Medusa gives you much greater freedom in manipulating STRING data. As a general tool, Medusa is very easy to use and flexible. Users can load their own data or interactively add or delete nodes and edges. It is also free for academic use and easy to install. Medusa was originally a house tool at EMBL and has been used in a number of successful scientific projects. We hope that others too can benefit from Medusa.
Major features
Medusa’s core feature is its graph viewer and editor. That means that users can load their own data, interactively edit it, and even build their own network using their own definitions for nodes and edges.
Graphs can be built with a variety of node types and edge types, and nodes and edges can have user-defined properties.
Edges can be labeled, colored and grouped into sets.
Edges can be weighted.
Edges can be drawn with arrows indicating direction.
Nodes can be embedded in other diagrams, thus allowing users to build complex networks.
The viewer allows you to explore graphs interactively, including filtering and coloring based on properties.
The editor allows you to add/delete/edit nodes and edges. Nodes and edges can be re-positioned, and nodes can be rotated.
Edges can be arranged in “rungs” (or “joints”).
Edges can be defined as being directed or undirected.
You can set properties for nodes and edges.
You can explore the graph visually by coloring nodes based on their properties, viewing their layout in 3D, etc.
You can save graphs in different formats.
All operations (adding, deleting, re-arranging, coloring, etc.) can be automated and the graph can be saved in several formats, including SVG, Pajek, Neato, and others.
You can download graphs as image files or as plain text.
You can export graphs to various formats (currently PDF, PNG, LaTeX, HTML) as well as to data files

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System Requirements:

512 MB RAM, 50 MB available hard-drive space
Operating System: Windows XP Home
Processor: Intel Pentium 3 700MHz or above
Celeron 900MHz or higher
Graphics Card: 128 MB or higher
Videocard: (preferably with 256MB) or higher
Sound Card: DirectX 7 compatible
Additional Notes:
It is recommended that you purchase a high-speed Internet connection to download the free SoundFonts from SF2.2 Library.
For Windows XP users, if the

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