birgHPCC 1.0 – Creating Compute Unified Device Architecture (CUDA) Computing Cluster for Bioinformatics

birgHPCC 1.0

:: DESCRIPTION

birgHPCC (Bioinformatic Research Group High Performance CUDA Computing) is a free Linux Live DVD distribution based on PelicanHPC and birgHPC.birgHPCC is capable of creating and configuring a compute unified device architecture (CUDA) computing cluster, hence the extra “C” in the name.

::DEVELOPER

birgHPCC team

:: SCREENSHOTS

birgHPCC

:: REQUIREMENTS

  • bootable DVD / USB

:: DOWNLOAD

  birgHPCC

:: MORE INFORMATION

CUSHAW3 3.0.3 – Sensitive and Accurate Gapped Short-read Alignment

CUSHAW3 3.0.3

:: DESCRIPTION

CUSHAW3 (the third distribution of CUSHAW software package for next-generation sequencing read alignment) is an open-source parallelized, sensitive and accurate short-read aligner.

::DEVELOPER

Liu, Yongchao

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • CUDA toolkits and SDK 2.0 or higher.

:: DOWNLOAD

 CUSHAW3

:: MORE INFORMATION

Citation:

Parallel and Scalable Short-Read Alignment on Multi-Core Clusters Using UPC+.
González-Domínguez J, Liu Y, Schmidt B.
PLoS One. 2016 Jan 5;11(1):e0145490. doi: 10.1371/journal.pone.0145490.

PLoS One. 2014 Jan 22;9(1):e86869. doi: 10.1371/journal.pone.0086869. eCollection 2014.
CUSHAW3: sensitive and accurate base-space and color-space short-read alignment with hybrid seeding.
Liu Y1, Popp B2, Schmidt B1.

TFM-CUDA 0.5 – CUDA tools for Position Weight Matrices (PWMs)

TFM-CUDA 0.5

:: DESCRIPTION

TFM-CUDA is a CUDA implementation of parallel algorithms able to:

  • scan a matrix or a set of matrices against a sequence (see also TFM-Scan),
  • compute the P-value corresponding to a score, or the score corresponding to a Pvalue (see also TFM-Pvalue),
  • compare two matrices

::DEVELOPER

Bonsai Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

 TFM-CUDA

:: MORE INFORMATION

Citation

Mathieu Giraud and Jean-Stéphane Varré,
Parallel Position Weight Matrices Algorithms,
Parallel Computing, 10.1016/j.parco.2010.10.001

CLAST 0.1.5 – CUDA implemented large-scale Alignment search tool

CLAST 0.1.5

:: DESCRIPTION

CLAST (CUDA implemented large-scale alignment search tool) is a tool that enables analyses of millions of reads and thousands of reference genome sequences, and runs on NVIDIA Fermi architecture graphics processing units.

::DEVELOPER

CLAST team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

CLAST

:: MORE INFORMATION

Citation

CLAST: CUDA implemented large-scale alignment search tool.
Yano M, Mori H, Akiyama Y, Yamada T, Kurokawa K.
BMC Bioinformatics. 2014 Dec 11;15:406. doi: 10.1186/s12859-014-0406-y.

SWCuda 1.92 – CUDA compatible for Smith-Waterman Sequence Alignment

SWCuda 1.92

:: DESCRIPTION

SWCuda (SmithWaterman-CUDA)allows to perform alignments between one or more sequences and a database (all the sequences, even in the DB, are intended to be proteinic). It is implemented in the recently released CUDA programming environment by NVidia.

::DEVELOPER

Svetlin A. ManavskiGiorgio Valle,

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ compiler
  • NVIDIA CUDA SDK

:: DOWNLOAD

  SWCuda

:: MORE INFORMATION

Citation

Svetlin A. Manavski, Giorgio Valle,
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment“,
BMC Bioinformatics 2008, 9(Suppl 2):S10 (26 March 2008)

cuda-sim 0.08 – CUDA GPU accelerated Biochemical Network Simulation

cuda-sim 0.08

:: DESCRIPTION

cuda-sim is a python package providing CUDA GPU accelerated biochemical network simulation

::DEVELOPER

Yanxiang Zhou and Chris Barnes, the Theoretical Systems Biology group at Imperial College London

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ WIndows/ MacOsX
  • Python

:: DOWNLOAD

 cuda-sim

:: MORE INFORMATION

Citation

GPU accelerated biochemical network simulation.”
Y. Zhou, J. Liepe, X. Sheng, M.P.H. Stumpf, C. Barnes
Bioinformatics. 2011 Mar 15;27(6):874-6.

CUDA-BLASTP 2.0 – Accelerate BLASTP on CUDA-enabled Graphics Card

CUDA-BLASTP 2.0

:: DESCRIPTION

CUDA-BLASTP is designed to accelerate NCBI BLAST for scanning protein sequence databases by taking advantage of the massively parallel CUDA architecture of NVIDIA Tesla GPUs. CUDA-BLASTP also has a utility to convert FASTA format database into files readable by CUDA-BLASTP.

::DEVELOPER

Parallel and Distributed Architectures

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  CUDA-BLASTP

:: MORE INFORMATION

Citation

Weiguo Liu, Bertil Schmidt, Wolfgang Müller-Wittig:
CUDA-BLASTP: accelerating BLASTP on CUDA-enabled graphics hardware“.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011, 8(6): 1678-1684

 

GPGPUFRAGFOLD 0.1 – CUDA Fragment Assembly Based Protein Structure Prediction

GPGPUFRAGFOLD 0.1

:: DESCRIPTION

GPUFRAGFOLD is a CUDA ACELERATED Protein Structure Prediction Tool.

:DEVELOPER

Bioinformatics Group – University College London

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • C Complier

:: DOWNLOAD

  GPGPUFRAGFOLD

:: MORE INFORMATION