Search Results for "dxvk-2.0"

Identifiers.org is a system providing resolvable and persistent identifiers, in the form of URIs, used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. The resolving services of Identifiers.org rely on the information stored in the MIRIAM Registry.

... RESTful API. This toolkit is distributed under an Apache License 2.0.

This is a pipeline that is used to store an EST or Genome assembly information including reads and their alignment in a mysql database. Further more, it provides a set of scripts to mine SNPs and other statistics from the assembly.

A Controlled Language Programming (CLP) compiler, runtime engine, and development IDE for writing software in a natural (but somewhat restricted) language that clearly represents the real world concerns and maps to a 3GL (Java/Groovy) for execution.

The GIS Metadata Manager is a simple Java-based desktop application to manage files from geographic information systems (GIS) in a specified directory by grouping files into records, adding metadata and searching the metadata to find files.

Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.

The Swiss Protein Identification Toolbox (swissPIT) is a project at the Swiss Institute for Bioinformatics (SIB) in Geneva which aims at the development of an automated analysis system to identify proteins using MS and MS/MS based data.

otter project at bma

this is a small project which provides several mathematical function useful for a chemist or somebody working with mass specs. The goal is to provide several cuda and c based functions which can be easily accessed using java, groovy and python.

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.