Libre Biotech

IsoSeq Clustering (Refine + Cluster)

Clustering: C57 I-K1 (individual)

Type
CWL
Status
succeeded
Engine
cwltool
Duration
0.2 h
Pipeline
PacBio CCS (Subreads → HiFi)
IsoSeq Clustering (Refine + Cluster)
Run #79 (this run)
succeeded 1 sources
IsoSeq Annotation (Map + Collapse + SQANTI3)
Functional Annotation (TransDecoder + Pfam + SwissProt)

Workflow

IsoSeq Clustering (Refine + Cluster)

#cwl

Software Tools

Results Summary

Input CCS Reads
115,377
FLNC Reads
112,575
Mean FLNC Length
0 nt
HQ Isoforms
0
LQ Isoforms
0
Clustering Ratio
0.0
FLNC / HQ isoforms
Mean FL Support
6.4
reads per isoform
Total FL Reads
74,169

Output Files

clustered.cluster HPC 4.8 MB clustered.cluster_report.csv HPC 3.8 MB clustered.hq.bam HPC 9.8 MB clustered.hq.bam.pbi HPC 66.6 KB clustered.lq.bam HPC 623 B clustered.lq.bam.pbi HPC 65 B demux_primers.lima.summary HPC 874 B flnc.bam HPC 259.5 MB flnc.bam.pbi HPC 1.2 MB flnc.filter_summary.report.json HPC 819 B job.yml HPC 274 B results_summary.json HPC 276 B

Provenance

Execution Expression quantification summary
Completed 2026-03-04T12:46:04+00:00
RO-Crate 1.1 Workflow RO-Crate 1.0 FAIR
This analysis is packaged as a Research Object Crate with machine-readable provenance and FAIR metadata.

RO-Crate Metadata (JSON-LD)

Show/hide raw JSON-LD
{
    "@context": "https://w3id.org/ro/crate/1.1/context",
    "@graph": [
        {
            "@id": "ro-crate-metadata.json",
            "@type": "CreativeWork",
            "about": {
                "@id": "./"
            },
            "conformsTo": [
                {
                    "@id": "https://w3id.org/ro/crate/1.1"
                },
                {
                    "@id": "https://w3id.org/workflowhub/workflow-ro-crate/1.0"
                }
            ]
        },
        {
            "@id": "./",
            "@type": "Dataset",
            "name": "IsoSeq Clustering (Refine + Cluster) \u2014 Run #79",
            "description": "Generic IsoSeq3 clustering pipeline. Merges demultiplexed BAMs, runs primer removal + polyA filtering (refine), then clusters into HQ/LQ isoform consensus sequences. Compatible with Sequel I CCS (use_qvs=false) and Sequel II/IIe HiFi data.",
            "datePublished": "2026-03-04",
            "license": {
                "@id": "https://creativecommons.org/licenses/by/4.0/"
            },
            "mainEntity": {
                "@id": "isoseq_clustering.cwl"
            },
            "hasPart": [
                {
                    "@id": "isoseq_clustering.cwl"
                },
                {
                    "@id": "job.yml"
                },
                {
                    "@id": "clustered.hq.bam"
                },
                {
                    "@id": "clustered.lq.bam"
                },
                {
                    "@id": "clustered.cluster_report.csv"
                },
                {
                    "@id": "clustered.cluster"
                },
                {
                    "@id": "flnc.filter_summary.report.json"
                },
                {
                    "@id": "flnc.bam"
                },
                {
                    "@id": "clustered.hq.bam.pbi"
                },
                {
                    "@id": "demux_primers.lima.summary"
                },
                {
                    "@id": "flnc.bam.pbi"
                },
                {
                    "@id": "clustered.lq.bam.pbi"
                },
                {
                    "@id": "results_summary.json"
                },
                {
                    "@id": "summary_extractor.py"
                }
            ],
            "mentions": [
                {
                    "@id": "#execution"
                },
                {
                    "@id": "#summary-extraction"
                }
            ]
        },
        {
            "@id": "isoseq_clustering.cwl",
            "@type": [
                "File",
                "SoftwareSourceCode",
                "ComputationalWorkflow"
            ],
            "name": "IsoSeq Clustering (Refine + Cluster)",
            "description": "#cwl",
            "programmingLanguage": {
                "@id": "Generic IsoSeq3 clustering pipeline. Merges demultiplexed BAMs, runs primer removal + polyA filtering (refine), then clusters into HQ/LQ isoform consensus sequences. Compatible with Sequel I CCS (use_qvs=false) and Sequel II/IIe HiFi data."
            },
            "contentSize": "2.9 KB",
            "sha256": "3cd8cfcc8caaf0fb4a964a16fc02edffbddb048e0c46b8c633c8fd3abf7efa08"
        },
        {
            "@id": "#cwl",
            "@type": "ComputerLanguage",
            "name": "Common Workflow Language",
            "url": {
                "@id": "https://www.commonwl.org/"
            },
            "version": "1.2"
        },
        {
            "@id": "#cwltool",
            "@type": "SoftwareApplication",
            "name": "cwltool",
            "url": {
                "@id": "https://github.com/common-workflow-language/cwltool"
            }
        },
        {
            "@id": "job.yml",
            "@type": "File",
            "name": "job.yml",
            "description": "CWL job input parameters",
            "encodingFormat": "text/yaml",
            "contentSize": "274 B",
            "sha256": "75851acb8daed3e8b1c23682cf900dfd5e98c26521b1b0e8a90065a7340ffe9a"
        },
        {
            "@id": "clustered.hq.bam",
            "@type": "File",
            "name": "clustered.hq.bam",
            "encodingFormat": "application/octet-stream",
            "contentSize": "9.8 MB",
            "sha256": "416def190f7944569271e7d760983a2014b196640c6314ca042a2d1429303a9e"
        },
        {
            "@id": "clustered.lq.bam",
            "@type": "File",
            "name": "clustered.lq.bam",
            "encodingFormat": "application/octet-stream",
            "contentSize": "623 B",
            "sha256": "a9d2d415fb4b0f8395e3aefadd7018ac358b907e84d51438fd4a396052d7806f"
        },
        {
            "@id": "clustered.cluster_report.csv",
            "@type": "File",
            "name": "clustered.cluster_report.csv",
            "encodingFormat": "text/csv",
            "contentSize": "3.8 MB",
            "sha256": "2ef3ffbcabf962a3dac2f893546d46b62acdcd6613d769088446597ecebd800f"
        },
        {
            "@id": "clustered.cluster",
            "@type": "File",
            "name": "clustered.cluster",
            "encodingFormat": "application/octet-stream",
            "contentSize": "4.8 MB",
            "sha256": "d26fa3f471b89d5a5e9659c12f8ac12f058fdebdc9a1f164f36b1905bfe71186"
        },
        {
            "@id": "flnc.filter_summary.report.json",
            "@type": "File",
            "name": "flnc.filter_summary.report.json",
            "encodingFormat": "application/json",
            "contentSize": "819 B",
            "sha256": "d1843d8a37672bf7616c79ea7e3d9b0647d5c3b6083f85e7ed88ea8356c350cd"
        },
        {
            "@id": "flnc.bam",
            "@type": "File",
            "name": "flnc.bam",
            "encodingFormat": "application/octet-stream",
            "contentSize": "259.5 MB",
            "sha256": "b559b9ef741c5eac8a500df8ed0b317a2531e06c0e0a594138a1434357097c77"
        },
        {
            "@id": "clustered.hq.bam.pbi",
            "@type": "File",
            "name": "clustered.hq.bam.pbi",
            "encodingFormat": "application/octet-stream",
            "contentSize": "66.6 KB",
            "sha256": "37f8468e5750999f11ec2ec58bfb34a28435097d28b30ce5f46c9b7dc224935d"
        },
        {
            "@id": "demux_primers.lima.summary",
            "@type": "File",
            "name": "demux_primers.lima.summary",
            "encodingFormat": "application/octet-stream",
            "contentSize": "874 B",
            "sha256": "5f2bbdc9c1e786d4b950d457939b8eef9e5ad8922cd052ddf60fd173d9c64d75"
        },
        {
            "@id": "flnc.bam.pbi",
            "@type": "File",
            "name": "flnc.bam.pbi",
            "encodingFormat": "application/octet-stream",
            "contentSize": "1.2 MB",
            "sha256": "02e5450dc4bc6cdb544f932136ef6c27f104e3b9e7f462028aac6176fcc48d2c"
        },
        {
            "@id": "clustered.lq.bam.pbi",
            "@type": "File",
            "name": "clustered.lq.bam.pbi",
            "encodingFormat": "application/octet-stream",
            "contentSize": "65 B",
            "sha256": "0898b440b5d691c4384b9cadaf7b007cfb06b947826234896416987b491df3ad"
        },
        {
            "@id": "#execution",
            "@type": "CreateAction",
            "name": "IsoSeq Clustering (Refine + Cluster) execution",
            "instrument": {
                "@id": "isoseq_clustering.cwl"
            },
            "startTime": "2026-03-04T22:31:55+00:00",
            "endTime": "2026-03-04T12:45:53+00:00",
            "object": [
                {
                    "@id": "job.yml"
                }
            ],
            "result": [
                {
                    "@id": "clustered.hq.bam"
                },
                {
                    "@id": "clustered.lq.bam"
                },
                {
                    "@id": "clustered.cluster_report.csv"
                },
                {
                    "@id": "clustered.cluster"
                },
                {
                    "@id": "flnc.filter_summary.report.json"
                },
                {
                    "@id": "flnc.bam"
                },
                {
                    "@id": "clustered.hq.bam.pbi"
                },
                {
                    "@id": "demux_primers.lima.summary"
                },
                {
                    "@id": "flnc.bam.pbi"
                },
                {
                    "@id": "clustered.lq.bam.pbi"
                }
            ]
        },
        {
            "@id": "results_summary.json",
            "@type": "File",
            "name": "results_summary.json",
            "description": "Derived summary statistics from pipeline outputs (CPM >= 1, uniquely mapped reads)",
            "encodingFormat": "application/json",
            "contentSize": "276 B",
            "sha256": "703c8a51352c549a5660c41259bd19f9a547de9100545d5bc5ef171ddf630496"
        },
        {
            "@id": "summary_extractor.py",
            "@type": [
                "File",
                "SoftwareSourceCode"
            ],
            "name": "Summary extraction script",
            "description": "Python script that computed results_summary.json from pipeline outputs",
            "programmingLanguage": {
                "@id": "#python3"
            }
        },
        {
            "@id": "#python3",
            "@type": "ComputerLanguage",
            "name": "Python",
            "url": {
                "@id": "https://www.python.org/"
            },
            "version": "3"
        },
        {
            "@id": "#summary-extraction",
            "@type": "CreateAction",
            "name": "Expression quantification summary",
            "instrument": {
                "@id": "summary_extractor.py"
            },
            "endTime": "2026-03-04T12:46:04+00:00",
            "object": [
                {
                    "@id": "OUT.read_assignments.tsv.gz"
                },
                {
                    "@id": "OUT.gene_counts.tsv"
                },
                {
                    "@id": "OUT.transcript_counts.tsv"
                },
                {
                    "@id": "OUT.extended_annotation.gtf"
                },
                {
                    "@id": "OUT.transcript_models.gtf"
                }
            ],
            "result": [
                {
                    "@id": "results_summary.json"
                }
            ]
        }
    ]
}