Search Results for "c algorithms"
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Showing 73 open source projects for "c algorithms"
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Gemi
PCR primers / probes design from multiple & degenerate sequences
Gemi, an automated, fast, and easy-to-use bioinformatics tool with a user-friendly interface to design primers and probes for polymerase chain reaction (PCR). Gemi accepts multiple aligned and long DNA and RNA sequences with degenerate nucleotide (non-A/C/G/T bases). Gemi can be used for quantitative, real-time and conventional PCR (qPCR, rt-PCR, etc.), and Sanger sequencing. Gemi can parse large dataset of sequences efficiently. Python source code is available upon request. Milestone:... -
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PANDA
A comprehensive and flexible quantification tool for proteomics data
PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels... -
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AstroBioTools
Adaptive analysis of amino acid alphabets
A new, fast implementation of algorithms used for the adaptive analysis of amino acid alphabets as described in Philip, G. K., & Freeland, S. J. (2011). Did evolution select a nonrandom “alphabet” of amino acids? Astrobiology, 11(3), 235-240. Ilardo, M., Meringer, M., Freeland, S., Rasulev, B., & Cleaves II, H. J. (2015). Extraordinarily adaptive properties of the genetically encoded amino acids. -
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almost - all atom molecular simulation toolkit - is a fast and flexible molecular modeling environment that provides powerful and efficient algorithms for molecular simulation, homology modeling, de novo design and ab-initio calculations.
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This project hosts a library and tools for sharing simulation experiments encoded using SED-ML.
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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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The ChIP-Seq software provides methods for the analysis of ChIP-seq data and other types of mass genome annotation data. The most common analysis tasks include positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-depleted regions.
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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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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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CognitionMaster
object-based image analysis framework
Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34 -
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Phaistos is a framework for all-atom Monte Carlo simulations of proteins. It incorporates several advanced probabilistic models of protein structure for conformational sampling, efficient move-algorithms and the OPLS and PROFASI forcefields.
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faif
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others. -
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
detectMITE - a MATLAB-based tool for detecting miniature inverted repeat transposable elements (MITEs) in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect... -
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Community Detection Modularity Suite
Suite of community detection algorithms based on Modularity
- MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M. ... -
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MSAProbs: Multiple Sequence Alignment
One of the most accurate multiple protein sequence aligners
MSAProbs is an open-source protein multiple sequence ailgnment algorithm, achieving the stastistically highest alignment accuracy on popular benchmarks: BALIBASE, PREFAB, SABMARK, OXBENCH, compared to ClustalW, MAFFT, MUSCLE, ProbCons and Probalign. -
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ShuffleFastaSeq
This application can be used to shuffle sequences in FASTA format.
ShuffleFastaSeq is a Windows form application, written in C#, to shuffle FASTA-formatted sequences. The random permutation is obtained using a simple variation of the Fisher-Yates alghorithm implemented by Durstenfeld (https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle) ( Knuth DE. The art of computer programming: seminumerical algorithms. 3rd ed. Boston: Addison-Wesley; 1997). The input file contains one or more sequences in FASTA format. -
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iCAS - An Illumina Clone Assembly System
An Illumina clone assembly system using SOAPdenovo and ABySS
Clone-by-clone sequencing, as a means of achieving high quality assemblies for large and complex genomes, continues to be of great relevance in the era of high throughput sequencing. However, assemblies obtained using current whole genome assemblers are often fragmented and sometimes have issues of genome completeness owing to different data characteristics introduced by multiplexed sequencing. With iCAS the data filtering process is based on a novel kmer frequency algorithm, resulting... -
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FieldTrip
The MATLAB software toolbox for MEG and EEG analysis
FieldTrip is the Matlab toolbox for EEG and MEG data. It includes algorithms for simple and advanced analysis, such as importing, preprocessing, time-frequency analysis, source reconstruction, statistical testing and connectivity analysis. -
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COPEread
Connecting Overlapped Pair-End Reads
COPE (Connecting Overlapped Pair-End reads) is a method to align and connect the illumina sequenced Pair-End reads of which the insert size is smaller than the sum of the two read length.The connected reads can be used in genome assembly, resequencing and transcriptome research. The full citation: COPE: An accurate k-mer based pair-end reads connection tool to facilitate genome assembly Binghang Liu; Jianying Yuan; Siu-Ming Yiu; Zhenyu Li; Yinlong Xie; Yanxiang Chen; Yujian Shi; Hao... -
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Morpheus search algorithm
a mass spectrometry–based proteomics database search algorithm
Morpheus is a mass spectrometry–based proteomics database search algorithm designed from the ground up for high-resolution tandem mass spectra. We have discovered that for high-resolution MS/MS, simple spectrum preprocessing and scoring performs superior to more complex algorithms originally developed for low-resolution MS/MS, such as Sequest, Mascot, and OMSSA. Morpheus is also very fast—up to nearly 5 times faster than OMSSA for large human datasets. It is written in C# and is available open source under the permissive MIT License. -
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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SoftSV
Calling structural variations. The soft way.
SoftSV is a tool for the detection of small and large deletions, inversions, tandem duplications and translocations from paired-end sequencing data. It uses aberrant paired-end mappings to determine approximative breakpoint regions and refines the breakpoints by analysing soft-clipped sequences for potential split-reads. For more information about the algorithm and an evaluation, have a look at this publication: "Robust and exact structural variation detection with paired-end and... -
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MDA
Molecular Dynamics Analyzer (MDA)
MDA is a 3D single-particle tracking software that explicitly addresses fluorescence microscopy experiments deep in living specimens. It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the... -
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SWAPHI-LS: Alignment on Xeon Phi Cluster
Smith-Waterman long DNA sequence alignment on Xeon Phi clusters
The first parallel Smith-Waterman algorithm exploiting Intel Xeon Phi clusters to accelerate the alignment of long DNA sequences. This algorithm is written in C++ (with a set of SIMD intrinsic extensions), OpenMP and MPI. The performance evaluation revealed that our algorithm achieves very stable performance, and yields a performance of up to 30.1 GCUPS on a single Xeon Phi and up to 111.4 GCUPS on four Xeon Phis sharing a host. -
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detectIR
Detection of Perfect and Imperfect Inverted Repeats
detectIR - a MATLAB-based tool for detecting perfect and imperfect inverted repeats in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectIR? Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectIR user manual...