Showing 9 open source projects for "workflow"

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  • 1
    Python4Proteomics Course

    Python4Proteomics Course

    Python course for Proteomics analysis

    Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md
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  • 2

    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...
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  • 3

    GASiC

    Genome Abundance Similarity Correction

    ...You can find the accompanying paper here: http://nar.oxfordjournals.org/content/41/1/e10.short Thanks to the great work of the SeqAn team, you can now use GASiC as a Knime workflow: https://github.com/seqan/knime_seqan_workflows/tree/master/metagenomics_gasic_workflow
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  • 4

    iMir

    Integrated pipeline for HT miRNA-Seq data analysis

    Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. 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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    Create and run cloud-based virtual machines.

    Secure and customizable compute service that lets you create and run virtual machines.

    Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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  • 5
    Pathomx

    Pathomx

    Workflow-based data analysis built on IPython

    Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis.
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  • 6

    Erda

    Workflow automation of Thomas networks

    This script is supplementary to the article "Time series dependent analysis of unparametrized Thomas networks" and performs the workflow steps described in section 7.
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  • 7
    SeqSelector

    SeqSelector

    Tools to select sequences for capture enrichment of next-gen libraries

    The SeqSelector toolset is a suite of user-friendly, platform independent python scripts to facilitate selection of sequences for targeted enrichment of next-generation libraries through hybridization-based sequence capture. The scripts require no knowledge of programming, and can be applied to genome sequences of model or non-model species. We suggest a workflow in which genes of interest are first identified from previous studies and publicly available datasets of functional gene annotation. Once a list of candidate genes has been identified, their sequences are selected from the reference genome. These sequences are used as a query during a BLAST search of the unannotated genome of a non-model species, and then the corresponding sequences are returned, which can be used to design baits for hybridization-based sequence capture.
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  • 8
    This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.
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  • 9
    Cyrille is an workflow management system aimed at high throughput pipelines in Bioinformatics.
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    Total Network Visibility for Network Engineers and IT Managers

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