Search Results for "source code claude code" - Page 4
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Showing 177 open source projects for "source code claude code"
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GNomEx
A Genomic LIMS and Data Repository
Our source code is now on GitHub: https://github.com/hci-gnomex/gnomex. Please refer to GitHub for the latest code. GNomEx is Genomic LIMS and Data Repository. It holds annotated experiments and downstream analysis and serves data tracks to popular genome browsers such as IGB, IGV, and UCSC genome browser. The LIMS handles all aspects of the experiment from order through results delivery. -
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...It simplifies the analysis of macromolecular structures, protein complexes, and molecular dynamics trajectories and offers a platform for the rapid integration of external programs. PLEASE NOTE: The Biskit source code as well as any later releases are now hosted on https://github.com/graik/biskit The sourceforge repo is only kept here for reference.
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PromKappa 2.0 (DNA patterns in Java)
PromKappa 2.0 (Java source code and bin)
A Java adaptation of DNA patterns based on the article "Eukaryotic genomes may exhibit up to 10 generic classes of gene promoters". by Ilie Guta (Java source code for DNA patterns) -
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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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DNA patterns & application
A software for generating DNA patterns
...BMC Genomics 2012, 13:512. [2] Gagniuc and Ionescu-Tîrgoviste. Gene promoters show chromosome specificity and reveal chromosome territories in humans, BMC Genomics 2013, 14:278. Source code VB6 (Visual Basic 6.0) -
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
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,... -
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...In addition to accurate quantitation, iMet-Q provides the charge states and isotope ratios of detected compounds. It accepts input data in netCDF, mzXML, and mzML format and exports quantitation results in csv and txt format. The software source code is freely available under the license of GPL2.
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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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Insulin IP Calc
Insulin infusion protocol calculator
...The infusion protocol calculator is based on the updated "Yale Insulin Infusion Protocol" http://bit.ly/1DaVfUd and American Association of Clinical Endocrinologists (AACE) blood sugar targets. http://inpatient.aace.com/ . Source code requires Xamarin Studio & Android SDK to compile. -
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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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RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
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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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DEAPathways
Differential Expression Analysis for Pathways
This project contains the source code associated with the PLoS Computational Biology publication: "Differential Expression Analysis for Pathways". The paper text can be found here: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002967 -
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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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Shoal
A lot of fish in a shoal, in a gigantic scientific ocean.
Ours organization website GCModeller.org is coming online soon! Shoal Shell is the sub project for the "genome-in-code"(http://code.google.com/p/genome-in-code/) virtual cell modelling project of the bacteria Xcc 8004. Shoal Shell aim at provide the modelling tool and the debugging tool for the GCModeller virtual cell modelling, And from the extendible library package, shoal shell can manage to accomplish the entire modelling job for any other bacteria species. Shoal Shell Project... -
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A basic and easy java program to make black and white identikit drawing ,with a library of face elements that you can also modify and expand without limit !Source code available. Also available a very rough base for a 3D construction of the face.
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The target system of this project is to develop mathematically efficient program code generator from cellml like biological models described by mathematical markup languages.
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Automatic cell lineage reconstruction
Automatic segmentation and tracking for 3D time-lapse microscopy
...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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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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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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Pathosphere
Code supporting Pathosphere.org
Pathosphere.org is a website designed to: Provide a means for rapid pathogen detection and characterization, and establish a more collaborative model for software development and sharing. Create an analytical environment that will enable the use of collaborators' software from anywhere, but ensure the security of analytical capabilities and data. Establish a common web front end that will capture a dynamic and changing set of analytical features. Allow users to work with the... -
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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. ... -
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mullpy
Multilabel-learning library built on python
Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. It is working on python3.3.
