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name : "ampir"
description : A fast and user-friendly method to predict antimicrobial peptides (AMPs) from any given size protein dataset. ampir uses a supervised statistical machine learning approach to predict AMPs.
keywords :
- ampir
- amp
- antimicrobial peptide prediction
tools :
- "ampir" :
description : "A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale."
homepage : "https://github.com/Legana/ampir"
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documentation : "https://cran.r-project.org/web/packages/ampir/index.html"
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tool_dev_url : "https://github.com/Legana/ampir"
doi : "10.1093/bioinformatics/btaa653"
licence : [ "GPL v2" ]
input :
- meta :
type : map
description : |
Groovy Map containing sample information
e.g. [ id:'test', single_end:false ]
- faa :
type : file
description : FASTA file containing amino acid sequences
pattern : "*.{faa,fasta}"
- model :
type : value
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description : Built-in model for AMP prediction
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pattern : "{precursor,mature}"
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- min_length :
type : value
description : Minimum protein length for which predictions will be generated
pattern : "[0-9]+"
- min_probability :
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type : value
description : Cut-off for AMP prediction
pattern : "[0-9][0-9]"
output :
- meta :
type : map
description : |
Groovy Map containing sample information
e.g. [ id:'test', single_end:false ]
- versions :
type : file
description : File containing software versions
pattern : "versions.yml"
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- amps_faa :
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type : file
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description : File containing AMP predictions in amino acid FASTA format
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pattern : "*.{faa}"
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- amps_tsv :
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type : file
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description : File containing AMP predictions in TSV format
pattern : "*.tsv"
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authors :
- "@jasmezz"