Search Results for "python data analysis" - Page 5
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Showing 322 open source projects for "python data analysis"
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Atlas is a suite of variant analysis tools specializing in the separation of true SNPs and insertions and deletions (indels) from sequencing and mapping errors in Whole Exome Capture Sequecing (WECS) data.
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
SAT-Assembler is a scalable and accurate gene assembly tool for large-scale RNA-Seq and metagenomic data. It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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IM-TORNADO
Illinois Mayo Taxonomy Operations for RNA Database Operations
IM-TORNADO HAS MOVED TO GITHUB: https://github.com/pjeraldo/imtornado2 Pipeline for analysis of paired-end 16S rDNA amplicon data. -
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riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
16S rRNA amplicon analysis and shotgun metagenome sequencing are two main culture-independent strategies to explore the genetic landscape of various microbial communities. Recently, numerous studies have employed these two approaches together, but downstream data analyses were performed separately, which always generated incongruent or conflict signals on both taxonomic and functional classifications. -
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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, sequence variation, and expression datasets is now available. ... -
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pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu
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ExSTraCS
Extended Supervised Tracking and Classifying System
...ExSTraCS combines a number of recent advancements into a single algorithmic platform. It can flexibly handle (1) discrete or continuous attributes, (2) missing data, (3) balanced or imbalanced datasets, and (4) binary or many classes. A complete users guide for ExSTraCS is included. Coded in Python 2.7. -
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The MeVisLab Community project provides add-on modules that extend the functionality of the MeVisLab software. The modules are provided and maintained by the MeVisLab developer community and can be compiled with the public MeVisLab SDK.
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A Tool for Retrieval, Visualization and Analysis of biological Pathways. Import a Gene or Protein Set from any Excel file. Automatically find signaling Pathways from KEGG. Integrate your Data in Seconds with a live interactive Force-directed Layout.
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StochPy - Stochastistic modeling in Python - is an easy-to-use package, which provides several stochastic simulation algorithms and unique analysis techniques, which can be used for stochastic simulations of biochemical systems.
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Flexbar
flexible barcode and adapter removal for sequencing platforms
Flexbar moved to https://github.com/seqan/flexbar The program Flexbar processes high-throughput sequencing data efficiently. It demultiplexes barcoded runs and removes adapter sequences. Moreover, trimming and filtering features are provided. Flexbar supports next-generation sequencing data in fasta and fastq format, e.g. from the Illumina platform. Reference: Matthias Dodt, Johannes T. Roehr, Rina Ahmed, Christoph Dieterich: Flexbar — flexible barcode and adapter processing for... -
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
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GenoSuite is a framework developed for proteogenomic analysis. An updated GenoSuite2 is just released where FDRScore (Jones et al. Proteomics 2009) based strategy is used to integrate results from multiple search algorithms. Prokaryotic Proteogenomic Tool(PPT) is developed as a part of GenoSuite framework. PPT is for finding novel translations in prokaryotic genomes and is dependent on Mass Spectrometry based proteomics data and related genome sequence.
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LDhat
Estimate Recombination Rates from Population Genetic Data
LDhat is a package written in the C language for the analysis of recombination rates from population genetic data. This package has migrated to github: https://github.com/auton1/LDhat -
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NetView P
Population Genomics Network Analysis Pipeline
NetView P has been re-structured as a package for R and moved to GitHub: https://github.com/esteinig/netview -
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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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Maximum Common Genome Alignment (MCGA)
Pipeline for creating core genome alignments for phylogenetic analysis
Maximum Common Genome Alignment (MCGA) Tool MCGA is a bioinformatics analysis tool written in Python for generating core genome alignment for bacterial whole genome sequences which can be used to construct phylogenetic trees. -
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LoFreq
Fast and sensitive variant-calling from sequencing data
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iMir
Integrated pipeline for HT miRNA-Seq data analysis
...To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs. -
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MZmine 2
A framework for differential analysis of mass spectrometry data
MZmine 2 is a framework written in Java for differential analysis of mass spectrometry data. -
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PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. ... -
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GUItars
GUItars is designed for the analysis of high throughput RNAi data.
Please refer to the original article published in PLOS ONE at http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0049386. GUItars's user-friendly graphical interface enables rapid analysis of RNAi and small molecule screens. GUItars uses SSMD for hit selection, which is preferred for its ability to diminish sample size effects and the false hit rate, making it superior to other widely used HTS analysis methods. The program can handle the analysis for screens without... -
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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xmipp
Image processing suite for Electron Microscopy
XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es
