Search Results for "cpu benchmark linux"
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Showing 21 open source projects for "cpu benchmark linux"
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GromacsProSuite
Graphical User Interface for Gromacs
This tool is an integrated graphical interface that simplifies molecular dynamics simulations using Gromacs. It provides a structured, tab-based environment to set up, execute, and analyze simulations data without complex command-line operations. The software automates tasks such as topology generation, solvation, ion addition, minimization, equilibration, and production runs while executing GROMACS commands in the background. Built-in monitoring tracks CPU, RAM, and disk usage to ensure... -
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miRPV
miRPV: An automated pipeline for miRNA Prediction and Validation in si
miRPV is an Automated tool that allows users to predict and validate microRNA from genome/gene sequence. System Requirement CPU: AMD64 (64bit) Memory: 2Gb RAM Storage: 5Gb Ubuntu 18.04 -
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GroIMP
Growth-grammar related Interactive Modelling Platform
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... -
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slimfastq
An efficient lossless compression for fastq files.
slimfastq is a cli application that compresses/decompresses fastq files. It features: * High compression ratio * Relatively low cpu/memory usage * Truly lossless compression/decompression -
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rRNAFinder
Fast ribosomal RNA detector and annotator
rRNAFinder is a small perl software package, which can be used to automatically predict and classify the ribosome RNA genes using the assembled genome/metagenome contigs as input. The software were only tested on the Linux operating system. "rRNAFinder.pl" program included in the package uses nhmmer program searching against the arc.hmm, bac.hmm, and euk.hmm databases to identify rRNA genes from the input contigs. The predicated rRNA genes include 16S, 18S, 23S, 28S, 5S, and 5.8S rRNA... -
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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.
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fast_count_multi
Extremely fast NGS read counter
Counts NGS read alignments against GTF annotations in a multithreaded and scalable fashion. Benchmark: 8 core 1M annotations for 2Gb sorted reads ~30 seconds compared to ~28 minutes for bedtools multicov. Files include: fast_count_multi - reports all counts and RPKM, multithreading support fast_count_deseq - reports gene counts in deseq compatible format, multithreading support fast_count - reports all counts with no multithreading support. usage ./fast_count_multi... -
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Drug Extraction
Drug name extraction
Drug name recognition and normalisation/grounding to DrugBank ids and standard names. Package provides 2 taggers: 1. DrugTagger - CRF-based with DrugBank presence feature (see feature set for details). 2. DrugnameGazetteer - gazetteer/dictionary-based. Dictionary created from DrugBank.ca database. Both taggers include grounding/normalisation to DrugBank ids and standard names. Feature set: Word, Word-1, Word+1, Word-1_Word, Word_Word+1, DrugBankPresence, POS DrugBankPresence... -
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MICA-aligner
Next-generation sequencing short reads aligner based on Intel® MIC
Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s... -
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SOAP3-DP
Fast, Accurate and Sensitive GPU-based Short Read Aligner
Latest Code on GitHub: https://github.com/aquaskyline/SOAP3-dp SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously. Compared with widely adopted aligners including BWA, Bowtie2, SeqAlto, CUSHAW2, GEM and GPU-based aligners BarraCUDA and CUSHAW, SOAP3-dp was found to be two to tens of times faster, while maintaining the highest sensitivity and lowest false discovery rate (FDR) on Illumina... -
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CUSHAW2: Parallel Gapped Read Alignment
One of the leading short-/long-read aligner to large genomes
CUSHAW2 is a fast and parallel gapped read alignment to large genomes, such as the human genome. The performance evaluation, by aligning simulated and real datasets to the human genome, shows that CUSHAW2 is consistently among the highest-ranked aligners in terms of alignment quality for both single-end and paired-end alignment, while demonstrating highly competitive speed. Furthermore, our aligner shows good parallel scalability with respect to the number of CPU threads. -
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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic... -
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PASHA: Parallelized Short Read Assembly
One of the fastest parallel short read assemblers for large genomes.
PASHA is a parallel short read assembler for large genomes using de Bruijn graphs. Taking advantage of both shared-memory multi-core CPUs and distributed-memory compute clusters, PASHA has demonstrated its potential to perform high-quality de-novo assembly of large genomes in reasonable time with modest computing resources. Our evaluation using three small real paired-end datasets shows that PASHA is able to produce better assemblies with comparable genome coverage and mis-assembly rates... -
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parastructure is a perl script collection to run the population genetics software STRUCTURE from Pritchard et al. 2000 (http://pritch.bsd.uchicago.edu/structure.html) in parallel on a cluster (beowulf type). Each run of K (the number of populations) is executed separately on each CPU of the cluster trough queue system based on PBS. A summary statistics table and distruct figures (Noah Rosenberg: http://www.stanford.edu/group/rosenberglab/distruct.html) are built at the end of the run. A...
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ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
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TRMSim-WSN (Trust and Reputation Models Simulator for Wireless Sensor Networks) is a Java-based simulator aimed to test Trust and Reputation models for WSNs. It provides several Trust and Reputation models and new ones can be easily added.
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Arena is a computer simulation in which programs compete for CPU time and access to main memory. Processes such as the dynamics of punctuated equilibrium, host-parasite co-evolution and density dependent natural selection are amenable to investigation.
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This is a multi-threaded Java program that tries to maximise CPU utilization by separating and distributing the computational part of the work from the file reading and writing part by using separate threads.
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MUMmerGPU is a high-throughput DNA sequence alignment program that runs on nVidia G80-class GPUs. It aligns sequences in parallel on the video card to accelerate the widely used serial CPU program MUMmer.
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openevo is a project started to find out about behaviour of evolutionary generated machine code. It implements a certain set of CPU instruction codes and a few interrupts for interaction with the runtime environment.
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