Explore Workflows

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Graph Name Retrieved From View
workflow graph EMG assembly for paired end Illumina

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v4-assembly-metaSPAdes.cwl

Branch/Commit ID: b6d3aaf3fa6695061208c6cdca3d7881cc45400d
workflow graph Functional analyis of sequences that match the 16S SSU

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/16S_taxonomic_analysis.cwl

Branch/Commit ID: 886df9de6713e06228d2560c40f451155a196383
workflow graph SC w/ Evaluation

Serial combination of KnowEnG tools

 https://github.com/knoweng-research/cwl-specification.git

Path: code/workflow.sc.cwl

Branch/Commit ID: 8ca52a8d2b76d91b7618032a22699c5be7d12c6c
workflow graph RNASelector as a CWL workflow

https://doi.org/10.1007/s12275-011-1213-z

 https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/rna-selector.cwl

Branch/Commit ID: b6d3aaf3fa6695061208c6cdca3d7881cc45400d
workflow graph CLIP-Seq pipeline for single-read experiment NNNNG

Cross-Linking ImmunoPrecipitation ================================= `CLIP` (`cross-linking immunoprecipitation`) is a method used in molecular biology that combines UV cross-linking with immunoprecipitation in order to analyse protein interactions with RNA or to precisely locate RNA modifications (e.g. m6A). (Uhl|Houwaart|Corrado|Wright|Backofen|2017)(Ule|Jensen|Ruggiu|Mele|2003)(Sugimoto|König|Hussain|Zupan|2012)(Zhang|Darnell|2011) (Ke| Alemu| Mertens| Gantman|2015) CLIP-based techniques can be used to map RNA binding protein binding sites or RNA modification sites (Ke| Alemu| Mertens| Gantman|2015)(Ke| Pandya-Jones| Saito| Fak|2017) of interest on a genome-wide scale, thereby increasing the understanding of post-transcriptional regulatory networks. The identification of sites where RNA-binding proteins (RNABPs) interact with target RNAs opens the door to understanding the vast complexity of RNA regulation. UV cross-linking and immunoprecipitation (CLIP) is a transformative technology in which RNAs purified from _in vivo_ cross-linked RNA-protein complexes are sequenced to reveal footprints of RNABP:RNA contacts. CLIP combined with high-throughput sequencing (HITS-CLIP) is a generalizable strategy to produce transcriptome-wide maps of RNA binding with higher accuracy and resolution than standard RNA immunoprecipitation (RIP) profiling or purely computational approaches. The application of CLIP to Argonaute proteins has expanded the utility of this approach to mapping binding sites for microRNAs and other small regulatory RNAs. Finally, recent advances in data analysis take advantage of cross-link–induced mutation sites (CIMS) to refine RNA-binding maps to single-nucleotide resolution. Once IP conditions are established, HITS-CLIP takes ~8 d to prepare RNA for sequencing. Established pipelines for data analysis, including those for CIMS, take 3–4 d. Workflow -------- CLIP begins with the in-vivo cross-linking of RNA-protein complexes using ultraviolet light (UV). Upon UV exposure, covalent bonds are formed between proteins and nucleic acids that are in close proximity. (Darnell|2012) The cross-linked cells are then lysed, and the protein of interest is isolated via immunoprecipitation. In order to allow for sequence specific priming of reverse transcription, RNA adapters are ligated to the 3' ends, while radiolabeled phosphates are transferred to the 5' ends of the RNA fragments. The RNA-protein complexes are then separated from free RNA using gel electrophoresis and membrane transfer. Proteinase K digestion is then performed in order to remove protein from the RNA-protein complexes. This step leaves a peptide at the cross-link site, allowing for the identification of the cross-linked nucleotide. (König| McGlincy| Ule|2012) After ligating RNA linkers to the RNA 5' ends, cDNA is synthesized via RT-PCR. High-throughput sequencing is then used to generate reads containing distinct barcodes that identify the last cDNA nucleotide. Interaction sites can be identified by mapping the reads back to the transcriptome.

 https://github.com/datirium/workflows.git

Path: workflows/clipseq-se.cwl

Branch/Commit ID: e0a30aa1ad516dd2ec0e9ce006428964b840daf4
workflow graph EMG pipeline v3.0 (single end version)

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3.cwl

Branch/Commit ID: 85155424fa5654526517369be2fa479a7d4d90de
workflow graph pass-unconnected.cwl

https://github.com/common-workflow-language/cwl-v1.2.git

Path: tests/pass-unconnected.cwl

Branch/Commit ID: 5f27e234b4ca88ed1280dedf9e3391a01de12912
workflow graph EMG core analysis

https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git

Path: workflows/emg-core-analysis-v4.cwl

Branch/Commit ID: 7bb76f33bf40b5cd2604001cac46f967a209c47f
workflow graph SV filtering workflow

https://github.com/genome/analysis-workflows.git

Path: definitions/subworkflows/filter_sv_vcf.cwl

Branch/Commit ID: 18600518ce6539a2e29c1707392a4c5da5687fa3
workflow graph EMG pipeline v3.0 (single end version)

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3.cwl

Branch/Commit ID: 1b0851e6456ccb1fca237a805ff85c53bc9d58c9