Explore Workflows

https://github.com/ebi-wp/webservice-cwl.git

Path: workflows/workflow-blast-ebeye-pdbe.cwl

Branch/Commit ID: 5df6b762980b15b0f6389149311b82bdd6dff37d

https://github.com/reanahub/reana-demo-root6-roofit.git

Path: workflow/cwl/workflow-htcondorcern.cwl

Branch/Commit ID: 5a1d6cb8c6ef34958972246dbc6e58c267bdc77c

https://git.astron.nl/eosc/prefactor3-cwl.git

Path: workflows/prefactor_calibrator.cwl

Branch/Commit ID: 6633c39d59a81b9ebf8312450bf50d6a0fe66efa

https://github.com/nal-i5k/organism_onboarding.git

Path: flow_genomicsWorkspace/genomics-workspace-cds.cwl

Branch/Commit ID: 89cff9f0d36a23bf57b3f4bdbd3ed57e3347c945

Sequence reads are first cleaned from adapters and transformed into fully bisulfite-converted forward (C->T) and reverse read (G->A conversion of the forward strand) versions, before they are aligned to similarly converted versions of the genome (also C->T and G->A converted). Sequence reads that produce a unique best alignment from the four alignment processes against the bisulfite genomes (which are running in parallel) are then compared to the normal genomic sequence and the methylation state of all cytosine positions in the read is inferred. A read is considered to align uniquely if an alignment has a unique best alignment score (as reported by the AS:i field). If a read produces several alignments with the same number of mismatches or with the same alignment score (AS:i field), a read (or a read-pair) is discarded altogether. On the next step we extract the methylation call for every single C analysed. The position of every single C will be written out to a new output file, depending on its context (CpG, CHG or CHH), whereby methylated Cs will be labelled as forward reads (+), non-methylated Cs as reverse reads (-). The output of the methylation extractor is then transformed into a bedGraph and coverage file. The bedGraph counts output is then used to generate a genome-wide cytosine report which reports the number on every single CpG (optionally every single cytosine) in the genome, irrespective of whether it was covered by any reads or not. As this type of report is informative for cytosines on both strands the output may be fairly large (~46mn CpG positions or >1.2bn total cytosine positions in the human genome).

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

Path: workflows/bismark-methylation-se.cwl

Branch/Commit ID: 7fb8a1ebf8145791440bc2fed9c5f2d78a19d04c

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

Path: definitions/subworkflows/bam_readcount.cwl

Branch/Commit ID: 18600518ce6539a2e29c1707392a4c5da5687fa3

AltAnalyze ICGS ===============

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

Path: workflows/altanalyze-icgs.cwl

Branch/Commit ID: 9e3c3e65c19873cd1ed3cf7cc3b94ebc75ae0cc5

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

Path: definitions/subworkflows/bam_to_trimmed_fastq.cwl

Branch/Commit ID: 40097e1ed094c5b42b68f3db2ff2cbe78c182479

https://github.com/ebi-wp/webservice-cwl.git

Path: workflows/workflow-fetch-hmmscan.cwl

Branch/Commit ID: 5df6b762980b15b0f6389149311b82bdd6dff37d

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

Path: definitions/pipelines/aml_trio_cle.cwl

Branch/Commit ID: a08de598edc04f340fdbff76c9a92336a7702022