Workflows forge of the Bioinformatics Core Facility @ the Institute of Molecular Biology (Mainz)
Space: Independent Teams
SEEK ID: https://workflowhub.eu/projects/20
Public web page: https://gitlab.rlp.net/imbforge/NGSpipe2go
Organisms: No Organisms specified
WorkflowHub PALs: No PALs for this Team
Team created: 8th Sep 2020
Related items
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, Australian BioCommons, virAnnot pipeline
Web page: Not specified
Stable
scRNA-Seq pipelines
Here we forge the tools to analyze single cell RNA-Seq experiments. The analysis workflow is based on the Bioconductor packages scater and scran as well as the Bioconductor workflows by Lun ATL, McCarthy DJ, & Marioni JC [*A step-by-step workflow for low-level analysis of single-cell RNA-seq
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Stable
scRNA-Seq pipelines
Here we forge the tools to analyze single cell RNA-Seq experiments. The analysis workflow is based on the Bioconductor packages scater and scran as well as the Bioconductor workflows by Lun ATL, McCarthy DJ, & Marioni JC [*A step-by-step workflow for low-level analysis of single-cell RNA-seq
...
Stable
DNA-Seq pipeline
Here we provide the tools to perform paired end or single read DNA-Seq analysis including raw data quality control, read mapping, variant calling and variant filtering.
Pipeline Workflow
All analysis steps are illustrated in the pipeline
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Stable
ChIP-Seq pipeline
Here we provide the tools to perform paired end or single read ChIP-Seq analysis including raw data quality control, read mapping, peak calling, differential binding analysis and functional annotation. As input files you may use either zipped fastq-files (.fastq.gz) or mapped read data (.bam files). In case of paired end reads, corresponding fastq files should be named using .R1.fastq.gz and .R2.fastq.gz suffixes.
Pipeline Workflow
All analysis steps are illustrated in
...
Stable
RNA-Seq pipeline
Here we provide the tools to perform paired end or single read RNA-Seq analysis including raw data quality control, differential expression (DE) analysis and functional annotation. As input files you may use either zipped fastq-files (.fastq.gz) or mapped read data (.bam files). In case of paired end reads, corresponding fastq files should be named using .R1.fastq.gz and .R2.fastq.gz suffixes.
Pipeline Workflow
All analysis steps are illustrated in the pipeline
...