Search Results for "git:/git.code.sf.net/p/docfetcher/code"
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Showing 47 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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GenForm
Generation of molecular formulas by high-resolution MS and MS/MS data
...The software user manual is available here: https://www.researchgate.net/publication/307964728_MOLGEN-MSMS_Software_User_Manual Example MS and MS/MS data files for GenForm can be downloaded here: https://sourceforge.net/p/genform/code/HEAD/tree/trunk/data/ A first program call could look like this: GenForm ms=SinapinicAcidMs.txt msms=SinapinicAcidMsMs.txt exist out -
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Comet MS/MS search engine
Comet open source tandem mass spectrometry (MS/MS) search engine.
September 2021: the code repository has migrate to https://github.com/UWPR/Comet Comet is an open source tandem mass spectrometry (MS/MS) sequence database search engine. It identifies peptides by searching MS/MS spectra against sequences present in protein sequence databases. Comet currently exists as a simple Windows or Linux command line binary that only does MS/MS database search. -
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dualword-chem
chemical viewer
chemical viewer written in C++ (Qt, RDKit) Source code: http://github.com/dualword/dualword-chem -
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Fast and efficient 3D pharmacophore search developed by the Camacho Lab (http://smoothdock.ccbb.pitt.edu) at the University of Pittsburgh. Source code is available through the svn repository.
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Quadric
Application for simple base-2 binary to base-4 DNA-code conversion
Quadric is an opensource file converter created by the Jomcraft Network development team. In it's core functionality this small utility can transform base-2 binary files into base-4 DNA-coded human-legible ASCII-files. -
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data using GSA-SNP2", Nucleic Acids Research, Vol. 46(10), e60(2018)... -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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Patlac--Xml2cpp is a totally customizable code generator that generates classes (c++ for now) automatically from a xsd schema. Classes are described in google-ctemplate files and a xml options file allow precise definition of projects.
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AI-Powered Identity GovernanceDefine governance policies, manage access, and optimize licenses with unified visibility across every identity, app, and file.
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code. -
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Virtual Cell
Former home of the Virtual Cell platform (VCell), see http://vcell.org
This project and all source code has moved to GitHub, see https://github.com/virtualcell -
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BioC
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining. -
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fast_count_multi
Extremely fast NGS read counter
...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 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 -
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....: "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. HeatmapGenerator is released under the GNU GPL.
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bio-cargo
CARGO - Compressed ARchival for GenOmics
CARGO is a high-level framework that can semi-automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of CARGO methods to compress FASTQ and SAM format archives require only a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors, and scale well to multi-TB datasets. -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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Madeline 2.0 Pedigree Drawing Engine
Madeline 2.0 Pedigree Drawing Engine (PDE)
The Madeline 2.0 Pedigree Drawing Engine is a pedigree drawing program designed to handle large and complex pedigrees with an emphasis on readability and aesthetics. PLEASE NOTE THAT as of 2015.09.30, the most current Madeline source code tree is now maintained on GITHUB at https://github.com/piratical/Madeline_2.0_PDE . -
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parSRA
Portable Framework for the Parallel Execution of Short Read Aligners
...It uses the following techniques in order to improve scalability: 1) a fast splitting of the input reads using the FUSE kernel module available in most of current Linux distributions; 2) a balanced on-demand distribution of the reads based on the shared locks of UPC++, an extension of C++ for parallel computing that follows the Partitioned Global Address Space (PGAS) paradigm. parSRA is portable as its configuration file allows the users to parallelize the execution of existing SRA tools without the need to modify the source code of parSRA or the aligner. -
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Virus QSP Modeling
C++ and Python code for simulating RNA virus replication
Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files. -
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CUDAlign
CUDAlign is a tool that aligns huge DNA sequences in CUDA capable GPUs
...IPDPS 2011: 1199-1211 [3] Edans Sandes, Alba Melo. CUDAlign: using GPU to accelerate the comparison of megabase genomic sequences. PPOPP 2010: 137-146 The latest source code can be found in Github. See the MASA project at https://github.com/edanssandes/MASA-CUDAlign -
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Automatic cell lineage reconstruction
Automatic segmentation and tracking for 3D time-lapse microscopy
...We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0% linkage accuracy across all species and imaging modalities." *Please cite this paper if you use this code for your research -
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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. -
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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 reads with different lengths. ... -
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MSL
http://dx.doi.org/10.1002/jcc.22968
MSL is a C++ library that enables the computational study of macromolecules. The MSL library is not a program (although some applications are distributed) but a tool for scientist to code their own molecular modeling methods. Philosophy The main goal is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications (protein modeling or design). MSL is developed in the Senes Lab at the University of Wisconsin-Madison and by a team of developers/users from other research laboratories. ...
