Showing 726 open source projects for "google-visualization-python"

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  • 1

    reditools

    RNA editing detection by NGS data

    REDItools are python scripts developed with the aim to study RNA editing at genomic scale by next generation sequencing data. RNA editing is a post-transcriptional phenomenon involving the insertion/deletion or substitution of specific bases in precise RNA localizations. In human, RNA editing occurs by deamination of cytosine to uridine (C-to-U) or mostly by the adenosine to inosine (A-to-I) conversion through ADAR enzymes.
    Downloads: 2 This Week
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  • 2
    This is a Python-based efficient implementation of several semantic similarity measures. The target is to enable fast and easy calculation of similarity between proteins and genes using the Gene Ontology (GO).
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  • 3

    GCB_package

    Stand-alone version of the Genome Complexity Browser

    This application allows observing genome rearrangements in prokaryotic genomes. It provides rearrangements frequencies profiles and genomes graph representation.
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  • 4
    e-Species

    e-Species

    A taxonomically intelligent biodiversity search engine

    This is a pure Python CGI-based implementation of a taxonomically intelligent species search engine. It searches biological databases for a taxonomic name. The search is done "on the fly" using web services (SOAP/XML) or URL API's.
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  • 5
    The SourceForge OpenRasMol project is an adjunct to the RasMol and OpenrasMol project at http://rasmol.org. It is hoped that the SourceForge OpenRasMol project will provide a convenient focal point for active collaborative contributions.
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    Downloads: 571 This Week
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  • 6
    GMOL

    GMOL

    A tool for 3D genome structure visualization

    ...If you use GMOL in your research, please cite: Nowotny, Jackson, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, and Jianlin Cheng. "GMOL: an interactive tool for 3D genome structure visualization." Scientific reports 6 (2016): 20802.
    Downloads: 0 This Week
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  • 7

    Marine Mammal Acoustic DCL

    Advanced acoustic detection, classification and localization

    Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats.
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  • 8
    PyTom

    PyTom

    http://www.sciencedirect.com/science/article/pii/S1047847711003492

    PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions.
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  • 9
    DACO-algorithm

    DACO-algorithm

    A novel transcription factor complex prediction algorithm.

    Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines...
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  • 10

    YFitter

    Fitting Y chromosome haplogroups by maximum likelihood

    Yfitter is a program for assigning Y chromosome haplogroups to individuals sequenced at low coverage. It is designed to be used in a samtools/bcftools pipeline. Yfitter also supports haplogrouping using chip genotype data.
    Downloads: 0 This Week
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  • 11
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  • 12

    bspipe

    An End-to-End Analysis Pipeline for BS-seq

    BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq.
    Downloads: 0 This Week
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  • 13
    OptFlux
    OptFlux is an open-source and modular software aimed at being the reference computational application in the field. It is the first tool to incorporate strain optimization tasks, i.e., the identification of Metabolic Engineering targets.
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    Downloads: 87 This Week
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  • 14
    As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site. Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the...
    Downloads: 3 This Week
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  • 15

    BioSeq

    A simple GUI for some of the biological sequence analysis.

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  • 16
    D-Tailor

    D-Tailor

    D-Tailor: automated analysis and design of DNA sequences

    Recent advances in DNA cloning and synthesis technologies afford high throughput implementation of designed sequences into living cells. However, our ability to design sequences to interrogate multifactorial biological processes and further engineer biological functions is lagging behind. DNA-Tailor (D-Tailor) is a fully extendable software framework for biological sequence analysis and multi-objective sequence design. D-Tailor permits the seamless integration of an arbitrary number of...
    Downloads: 1 This Week
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  • 17
    CSBB-v3.0

    CSBB-v3.0

    CSBB - Computational Suite for Bioinformaticians and Biologists

    CSBB is a command line-based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R, java, python and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX. Currently CSBB provides 18 modules focused on analytical tasks like performing upper-quantile normalization, interactive visualization and next generation sequencing pipelines. ...
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  • 18
    CSBB-v2.1 [CSBB-v3.0 is now available]

    CSBB-v2.1 [CSBB-v3.0 is now available]

    Computational Suite For Bioinformaticians and Biologists

    ...Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 17 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc.
    Downloads: 0 This Week
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  • 19

    Pipebar

    A fast and accurate pipeline for DNA barcoding analysis.

    ...Here we proposed a pipeline for DNA chromatograms analysis of Sanger platform by open-source tools integration in order to reduce cost with standard commercial licences ensuring high quality, robustness with reduced time. Pipebar is a python application created to automatization of processing chromatogram trace files to high-quality DNA sequences for downstream analyses.
    Downloads: 0 This Week
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  • 20

    PPLine

    SNP calling, annotation and gene/transcripts expression quantification

    PPLine is a Python-based suite aimed to process raw RNA-seq or Exome-seq data. PPLine provides: - read mapping (STAR/Tophat2/bowtie/bowtie2), including novel splice junsctions discovery - gene and transcript expression estimation (HTSeq-count/Cufflinks) - SNP calling with BQSR and indel realignment (samtools/GATK) - variant annotation (Annovar) - novel transcripts discovery (Cufflinks) - predicting proteotypic peptides and creating ref/alt proteins fasta-database - integration of the results
    Downloads: 0 This Week
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  • 21
    pySBOL

    pySBOL

    SWIG-Python wrappers for libSBOL

    pySBOL is a SWIG-Python wrapper around libSBOL, a module for reading, writing, and constructing genetic designs according to the standardized specifications of the Synthetic Biology Open Language (SBOL). This page provides binary installers for Windows operating system for Python 2.7 and 3.6. For installation instructions, visit: https://pysbol2.readthedocs.io/en/latest/installation.html For full documentation, visit: https://pysbol2.readthedocs.io/en/latest/index.html
    Downloads: 0 This Week
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  • 22

    BisSNP

    Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller

    ...In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj
    Downloads: 0 This Week
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  • 23

    lr2rmats

    Long read to rMATS

    lr2rmats is a Snakemake-based light-weight pipeline which is designed to utilize both third-generation long-read and second-generation short-read RNA-seq data to generate an enhanced gene annotation file. The newly generated annotation file could be provided to rMATS for differential alternative splicing analysis. More information can be found at https://sourceforge.net/p/lr2rmats/wiki/Home/
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  • 24
    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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  • 25

    DualTranscriptDiscovery

    Transcript-discovery approach for gene feature delimitation by RNA-seq

    This project contains Python scripts usable for a dual transcript-discovery approach that improves the delimitation of gene features from RNA-seq data in the chicken model. Documentation: http://bio.biologists.org/content/biolopen/suppl/2018/01/17/bio.028498.DC1/BIO028498supp.pdf Citation: Orgeur M., Martens M., Börno S. T., Timmermann B., Duprez D. and Stricker S. (2018).
    Downloads: 1 This Week
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