Search Results for "build"

.../fast_count_multi num_threads gtf_file bam_file(s) > output Requires bamtools API library at run time, and c++0x for compile. git clone https://github.com/pezmaster31/bamtools cd bamtools mkdir build cd build cmake .. make export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:path to/lib g++ -I bamtools/include/ -L bamtools/lib/ -o fast_count_multi fast_count_multi.cpp -lz -lbamtools -fpermissive -pthread -std=c++0x

This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as possible so that you can download pieces of codes. ...

ToxOtis is a Java interface to the predictive toxicology services of OpenTox. ToxOtis is being developed to help both those who need a painless way to consume OpenTox web services and for ambitious service providers...

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

Mac upgraded to OSX, Lepard which do not support os9 anymore. This project is build to help DNA Strider user to get their data out and perform some basic DNA analyze function.

GPSR is a resource for genomics, proteomics and systems biology. The aim of this project is to build comprehensive resources in the field of bioinformatics.

QRasMol is a reimplementation of RasMol in C++ with updated CMake build systems.

Little b is a Lisp-based language which allows scientists to build shareable, reusable mathematical models of complex systems based on shared parts. The initial focus is molecular and multicellular networks. Project web page: http://www.littleb.org

Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.