Search Results for "using"
Sort By:
Showing 37 open source projects for "using"
View related business solutions-
Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
-
Vibes don’t ship, Retool doesVibe coding tools create cool demos, but Retool helps you build software your company can actually use. Generate internal apps that connect directly to your data—deployed in your cloud with enterprise security from day one. Build dashboards, admin panels, and workflows with granular permissions already in place. Stop prototyping and ship on a platform that actually passes security review.
-
1
gVirtualXRay
Virtual X-Ray Imaging Library on GPU
...It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave. -
2
rpackage conjurer
Synthetic data generation using R
Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples. -
3
An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
-
4
TEACUP
TCP Experiment Automation Controlled Using Python
...When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
-
5
gogadget
A toolbox for interpretation and visualization of RNA-seq GO analysis
...To install the package download the "gogadget_2.1.tar.gz" file, open R and install with the following line: install.packages( "C:/your/directory/gogadget_2.1.tar.gz", repos = NULL, type="source") The package was made in R 3.4.2 on a Windows 7 computer, and is also tested on Ubuntu. Please cite the following paper if you publish results obtained using gogadget: Nota, B. (2017), Gogadget: an R Package for Interpretation and Visualization of GO Enrichment Results. Mol. Inf. May;36(5-6). doi: 10.1002/minf.201600132. -
6
...We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014
-
7
Ship Lock Scheduling
Scheduling lockages at ship locks with several parallel lock chambers
This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding... -
8
runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior. -
9
...Please cite: [Khomtchouk et al.: "HeatmapGenerator: High performance RNAseq and microarray visualization software suite to examine differential gene expression levels using an R and C++ hybrid computational pipeline." Source Code for Biology and Medicine, 2014 9:30] HeatmapGenerator source code is available at: https://github.com/Bohdan-Khomtchouk/HeatmapGenerator Bohdan Khomtchouk wishes to acknowledge the support of the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program. ...
-
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
-
10
PyRate
Bayesian Estimation of Speciation and Extinction from Fossil Data
PyRate is a Python program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework. The method was described by D Silvestro, J Schnitzler, LH Liow, A Antonelli, and N Salamin in Systematic Biology (http://sysbio.oxfordjournals.org/content/early/2014/02/08/sysbio.syu006.abstract). *Please download the most up-to-date code from the "PyRate code" tab on this page or from: https://github.com/dsilvestro/PyRate * *An updated manual can be found here: https://github.com/dsilvestro/PyRate/tree/master/tutorials * -
11
PS Matching in SPSS
Propensity score matching in SPSS
Propensity score matching in SPSS Provides SPSS custom dialog to perform propensity score matching. Using the SPSS-R plugin, the software calls several R packages, mainly MatchIt and optmatch. Proper citations of these R packages is provided in the program. -
12
Toolchain for quantification of fluorescence intensity and morphological parameters in single cells using microscope based cytometry.
-
13
SuRankCo
Supervised Ranking of Contigs in de novo Assemblies
...For more details about SuRankCo and its functioning, please see "SuRankCo: Supervised Ranking of Contigs in de novo Assemblies" Mathias Kuhring, Piotr Wojtek Dabrowski, Andreas Nitsche and Bernhard Y. Renard (http://www.biomedcentral.com/1471-2105/16/240/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using SuRankCo. Update Jun2015: * Minor changes to enable BAM support. Update Feb2014: * Added support for FASTA/SAM assemblies in addition to ACE/FASTQ(QUAL). NOTE: features of FASTA/SAM assemblies do not include BaseCount, BaseSeqmentCount and ContigQualities yet. -
14
outbreaker
outbreaker
A R package for disease outbreak reconstruction using epidemiological and genetic data. -
15
LiDSiM
LImits of Detection SImulation for Microbes
...For more details about LiDSiM and its functioning, please see "Estimating the Computational Limits of Detection of Microbial Non-Model Organisms" Mathias Kuhring and Bernhard Y. Renard (http://onlinelibrary.wiley.com/doi/10.1002/pmic.201400598/abstract) PLEASE NOTE, it is recommended to read the paper and the readme.txt file before using LiDSiM. -
16
QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
-
17
TeachingDemos
Bioinformatics related demos and tutorials using the R programming lan
Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License -
18
BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
Metagenomics yields enormous numbers of microbial sequences that can be assigned a metabolic function. Using such data to infer community-level metabolic divergence is hindered by the lack of a suitable statistical framework. Here, we describe a novel hierarchical Bayesian model, called BiomeNet (Bayesian inference of metabolic networks), for inferring differential prevalence of metabolic networks among microbial communities. To infer the structure of community-level metabolic interactions, BiomeNet applies a mixed-membership modelling framework to enzyme abundance information. ... -
19
phcfM
R package for modelling anthropogenic deforestation
...It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time. -
20
estimate_project
ESTIMATE
ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) is a new approach to use gene expression signature to infer the fraction of stromal and immune cells in tumor tissues. -
21
rTRM
Identification of transcriptional regulatory modules (TRMs)
This R package can be used to identify TRMs using experimental evidence from a single ChIP-seq experiment. It combines computational predicted transcription factor (TF) binding sites, gene expression and protein-protein interaction (PPI) data and use it to predict TRMs. -
22
Pop-seq
Population simulator to solve next generation sequencing questions
Pop-seq is a perl based simulation tool, for generating any kind of mapping population using an user defined recombination landscapes. Combined with the Seq-sim tool you can generate pooled or bar-coded next generation sequencing biased outcomes. This tool were used to solve reappearing question in a experimental design (e. g. of how many plants or sequencing depth is advisable in a back crossed or out crossed scenario ) -
23
Weibull-based reliability toolkit for R
R package for Weibull analysis on (life-)time observations.
This is a small R package for doing Weibull-based reliability analysis. This R package is now obsolete and has been superseded by 'project Abernethy' on http://r-forge.r-project.org/projects/abernethy/. -
24
Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
...The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates. -
25
ALEXA-Seq is a method for using massively parallel paired-end transcriptome sequencing for 'alternative expression analysis'.
