Search Results for "gpu-z"

Important: Groimp migrates to Gitlab. You can find the latest code at "https://gitlab.com/grogra/groimp/". The version on Sourceforge will not be updated anymore. The modelling platform GroIMP is designed as an integrated platform which incorporates modelling, visualisation and interaction. It exhibits several features which makes itself suitable for the field of biological or ALife modelling: The “modelling backbone” consists in the language XL. It is fully integrated, e.g., the...

The increasing wealth of transcriptomic data and current computational tools enable to infer how protein interactomes and complexomes may be assembled in specific samples. With CompleXChange this information can be exploited to conduct differential analyses of the dynamic protein complexome in a quantitative manner. The corresponding publication can be found on https://doi.org/10.1186/s12859-019-2852-z.

OpenChrom is a tool for gas chromatography and mass spectrometry. The focus is to handle data files from different GC/MS and GC/FID systems and vendors. Its functionality and algorithms can be extended using a flexible plugin approach, based on Eclipse RCP.

This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.

GPU3SNP is a multi-GPU tool that exhaustively analyzes case-control datasets looking for 3-SNP combinations that present epistatic interaction. It provides a list with the combinations that have higher Mutual Information, which is used as measure for interaction. It is parallelized using CUDA and can exploit several GPUs in the same node/system.

ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic,...

... replicates as well as with replicates. For comparison purposes, non-SSMD-based methods such as percent activity, z-score, and t-test are also provided as scoring options. Version 2.1 released: several bugs fixed. Version 3.0 released for Windows and Mac: experiment-wise analysis option, map to all samples option (no hit cut-off needed), percent activity for replicates option and .ai output format are added

Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric...

... interaction analysis for binary traits. Here we present a novel software package GENIE, which utilizes the power of multiple GPU or CPU processor cores to parallelize the interaction analysis. Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158.

siMacro is simple GUI tool for cell based genome wide siRNA screen data processing. It calculates statistical parameters such as Z score and robust Z score.

... Ubuntu), CUDA-capable bioinformatics software programs, such as NAMD, HOOMD-blue, VMD, GPU-HMMER and GPU-BLAST, are pre-installed in birgHPCC, along with the CUDA driver, libraries and software development kit (SDK). In short, birgHPCC is the world's first CUDA-ready, bioinformatics-based, live DVD.

We present an improved ball and stick representation called HyperBalls. This type of depiction is particularly useful to represent dynamic phenomena, such as the evolution of non covalent bonds and takes advantage of GPU capabilities. HyperBalls are now fully integrated into the UnityMol software and are actively developed in that context. You will find the most up-to-date versions of the shaders in the http://unitymol.sourceforge.net project.

This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library