Explore Workflows
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RNA-Seq pipeline single-read strand specific
Note: should be updated The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific single-read** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-read RNA-Seq data. It performs the following steps: 1. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 3. Use samtools sort to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ file to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using GEEP reads-counting utility; export results to file |
https://github.com/datirium/workflows.git
Path: workflows/rnaseq-se-dutp.cwl Branch/Commit ID: 5e7385b8cfa4ddae822fff37b6bd22eb0370b389 |
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tt_kmer_top_n.cwl
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_top_n.cwl Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b |
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QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data
### Devel version of QuantSeq 3' FWD, FWD-UMI or REV for single-read mRNA-Seq data |
https://github.com/datirium/workflows.git
Path: workflows/trim-quantseq-mrnaseq-se-strand-specific.cwl Branch/Commit ID: cbefc215d8286447620664fb47076ba5d81aa47f |
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kmer_ref_compare_wnode
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b |
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capmq.cwl
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https://github.com/wtsi-hgi/arvados-pipelines.git
Path: cwl/workflows/capmq.cwl Branch/Commit ID: 95babe5d8779c036e3499940544c7709600929d1 |
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heatmap-prepare.cwl
Workflow runs homer-make-tag-directory.cwl tool using scatter for the following inputs - bam_file - fragment_size - total_reads `dotproduct` is used as a `scatterMethod`, so one element will be taken from each array to construct each job: 1) bam_file[0] fragment_size[0] total_reads[0] 2) bam_file[1] fragment_size[1] total_reads[1] ... N) bam_file[N] fragment_size[N] total_reads[N] `bam_file`, `fragment_size` and `total_reads` arrays should have the identical order. |
https://github.com/datirium/workflows.git
Path: subworkflows/heatmap-prepare.cwl Branch/Commit ID: 9ee330737f4603e4e959ffe786fbb2046db70a00 |
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ani_top_n
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https://github.com/ncbi/pgap.git
Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b |
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kmer_ref_compare_wnode
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https://github.com/ncbi/pgap.git
Path: task_types/tt_kmer_ref_compare_wnode.cwl Branch/Commit ID: f390475a4e0898d4933f0a28dae278aa35803eb1 |
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cram-get-fasta.cwl
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https://github.com/wtsi-hgi/arvados-pipelines.git
Path: cwl/workflows/cram-get-fasta.cwl Branch/Commit ID: 95babe5d8779c036e3499940544c7709600929d1 |
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gcaccess_from_list
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https://github.com/ncbi/pgap.git
Path: task_types/tt_gcaccess_from_list.cwl Branch/Commit ID: 1e16653514fd5629a704516eb447043c9fd0a53b |
