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Proteomics & immunologylatest-release

proteinannotator

nf-core/proteinannotator

Generation of sequence-level annotations for amino acid sequences

version1.1.0cbf78d471fMay 7, 2026 Upstream Usage docs

Key tools

SeqFuSeqKithmmerInterProScans4predMultiQC

Run it

nfclaw
nfclaw run proteinannotator --input samplesheet.csv --outdir results -profile docker
raw nextflow
nextflow run pipelines/proteinannotator/upstream -profile docker --input samplesheet.csv --outdir results
demo · bundled test profile
nfclaw run proteinannotator --demo --outdir results # adds the upstream test profile (-profile test,docker)

Inputs

columntyperequiredallowed valuesconstraints
idstringyesmatches ^\S+$
fastastring (file path)yesmatches ^([\S\s]*\/)?[^\s\/]+\.(fa|fasta|faa|fas)(\.gz)?$

--input must match ^\S+\.csv$.

The samplesheet is a CSV with this header (the columns the schema requires); fill each value per the table above and reference.md (no example value is invented here):

csv
id,fasta

From data files. --input may also be the data files — a directory (searched recursively), a quoted glob, or files (--input once per file) — from which nfclaw writes this samplesheet: id from file names; fasta from files matching their patterns, by sample name. Set other columns with --sheet-set COLUMN=VALUE. Preview it with --check; a run records it in <outdir>/provenance/ for replay.

Resources

Resource requests follow the pipeline's configs and selected profiles. nf-core's resource labels often assume a server — a single step can request far more memory than a workstation has, and retry rules can increase requests. If a run fails with Process requirement exceeds available memory (or CPUs), cap every request, and every retry, at what this machine actually has:

bash
nfclaw run proteinannotator --input samplesheet.csv --outdir results -profile docker \
--limit-cpus 4 --limit-memory 15.GB

nfclaw turns those into Nextflow's process.resourceLimits and passes them as a -c config — the mechanism nf-core prescribes for exactly this (docs). Set them to the machine's real capacity. --limit-time DURATION also caps how long any one task may run: a task that needs longer is stopped, and so is every retry, so set it only as a deliberate ceiling, never as a guess at how long the analysis takes. The generated config is kept in <outdir>/provenance/, so commands.sh replays the run under the same ceiling.

Nextflow engine

This release declares nextflowVersion = '!>=25.10.4'.

To pin this release's declared minimum engine — useful when a newer Nextflow has incompatible config parsing:

bash
nfclaw run proteinannotator ... --nxf-ver 25.10.4

--nxf-ver is recorded in <outdir>/provenance/, so the replay uses the same engine. See known-issues.

Demo

bash
nfclaw run proteinannotator --demo --outdir results # adds the upstream test profile (-profile test,docker)
<!-- Generated from nf-core/proteinannotator@cbf78d471f62d91af666e8c77bcd580b4743c6be. Do not edit by hand. -->

Samplesheet

A CSV with this header (the columns the schema requires). Fill each value per the constraints below.

samplesheet.csv header
id,fasta
ColumnTypeRequiredAllowed / constraints
idstringrequiredmatches ^\S+$
fastastring (file path)requiredmatches ^([\S\s]*\/)?[^\s\/]+\.(fa|fasta|faa|fas)(\.gz)?$

Required parameters

--inputstring (file path)

Path to comma-separated file containing information about the samples in the experiment.

Constraint · matches ^\S+\.csv$

--outdirstring (directory path)

The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.

Parameter explorer

50 parameters · 7 groups

Every parameter from the pinned nextflow_schema.json. nfclaw checks explicit values before launch; complex rules use the pinned pipeline's runtime validation. Search, filter by group, and expand any parameter for its default, allowed values and constraints.

33 parameters · 17 hidden

Domain Annotation Params13

Path to an already installed FunFam HMM database (.lib.gz).

CATH hosted link to the latest available (v4_3_0) FunFam HMM database file.

hmmsearch e-value cutoff threshold for reported results. Modifies the -E parameter of hmmsearch.

Path to an already installed metagRoot HMM database (.hmm.gz).

metagRoot hosted link to the latest available metagRoot HMM database file.

Path to an already installed NMPFams HMM database.

NMPFams hosted link to the latest NMPFams HMM database file.

Path to an already installed Pfam HMM database (.hmm.gz).

InterPro hosted link to the latest Pfam HMM database file.

Skip the domain annotation with the FunFam database.

Skip the domain annotation with the metagRoot database.

Skip the domain annotation with the NMPFams database.

Skip the domain annotation with the Pfam database.

Functional Annotation options5

Assigns the database(s) to be used to annotate the coding regions.

Path to pre-downloaded InterProScan database.

Change the database version used for annotation.

Pre-calculates residue mutual matches.

Skip the functional annotation with InterProScan.

Generic options5

Display the help message.

Display the full detailed help message.

Base URL or local path to location of modules test dataset files

Custom MultiQC yaml file containing HTML including a methods description.

Display hidden parameters in the help message (only works when --help or --help_full are provided).

Input Output options4

Email address for completion summary.

Path to comma-separated file containing information about the samples in the experiment.

MultiQC report title. Printed as page header, used for filename if not otherwise specified.

The output directory where the results will be saved. You have to use absolute paths to storage on Cloud infrastructure.

Prediction Params2

Choose the output format (i.e., 'ss2', 'fas', 'horiz') for the s4pred per amino acid probability predictions (i.e., α-helix, β-strand, coil). Modifies the --outfmt parameter of s4pred run_model.

Skip the secondary structure prediction.

Quality Check Params4

The maximum allowed sequence length

The minimum allowed sequence length

Remove duplicate input amino acid sequences, based on the sequence.

Skip all default QC steps for sequences (gap trimming, length filtering, validation, duplicate removal).

Outputs

Results land in --outdir; the files and directory layout depend on the selected workflow, parameters and publication settings. Run metadata is normally placed in <outdir>/pipeline_info/ (execution report, software versions), when those outputs are enabled. The pinned tree includes MultiQC support; a report is produced only when its workflow step runs. nfclaw run also writes <outdir>/provenance/ with the exact params file and the run log, <outdir>/provenance/logs/run.log — the whole launch, whose last line states the outcome (Nextflow's own log is <outdir>/.nextflow.log); unless --no-provenance it adds a run manifest (pinned version, commit and exact command), input/output SHA-256 checksums, and a replayable commands.sh. The exact output files and directory layout for this release are documented upstream: github.com/nf-core/proteinannotator/blob/1.1.0/docs/output.md Check a run — in the foreground or the background — with nfclaw status <outdir>: success, still running, how it ended (with the error), or stopped without an outcome; exit 0 success, 3 running, 1 otherwise.