*`--version` print version in form `barrnap X.Y` and exit
*`--citation` print a citation and exit
### Search
*`--kingdom` is the database to use: Bacteria:`bac`, Archaea:`arc`, Eukaryota:`euk`, Metazoan Mitochondria:`mito`
*`--threads` is how many CPUs to assign to `nhmmer` search
*`--evalue` is the cut-off for `nhmmer` reporting, before further scrutiny
*`--lencutoff` is the proportion of the full length that qualifies as `partial` match
*`--reject` will not include hits below this proportion of the expected length
### Output
*`--quiet` will not print any messages to `stderr`
*`--incseq` will include the full input sequences in the output GFF
*`--outseq` creates a FASTA file with the hit sequences
## Caveats
Barrnap does not do anything fancy. It has HMM models for each different rRNA gene.
They are built from full length seed alignments.
## Requirements
* Perl >= 5.6
* HMMER >= 3.1b
## License
Barrnap is free software, released under the GPL (version 3).
## Comparison with RNAmmer
Barrnap is designed to be a substitute for RNAmmer. It was motivated by
my desire to remove <AHREF="https://github.com/tseemann/prokka">Prokka's</A> dependency on RNAmmer
which is encumbered by a free-for-academic sign-up license, and by RNAmmer's
dependence on legacy HMMER 2.x which conflicts with HMMER 3.x that most people are using now.
Barrnap is designed to be a substitute for [RNAmmer](http://www.cbs.dtu.dk/services/RNAmmer/).
It was motivated by my desire to remove [Prokka's](https://github.com/tseemann/prokka)
dependency on RNAmmer which is encumbered by a free-for-academic sign-up
license, and by RNAmmer's dependence on legacy HMMER 2.x which conflicts
with HMMER 3.x that most people are using now.
RNAmmer is more sophisticated than Barrnap, and more accurate because it uses HMMER 2.x in glocal alignment mode whereas NHMMER 3.x currently only supports local alignment (Sean Eddy expects glocal to be supported in 2014). In practice, Barrnap will find all the typical rRNA genes in a few seconds (in bacteria), but may get the end points out by a few bases and will probably miss wierd rRNAs. The HMM models it uses are derived from Rfam, Silva and RefSeq.
RNAmmer is more sophisticated than Barrnap, and more accurate because it
uses HMMER 2.x in glocal alignment mode whereas NHMMER 3.x currently only
supports local alignment (Sean Eddy expected glocal to be supported in 2014,
but it still isn't available in 2018).
In practice, Barrnap will find all the typical rRNA genes in a few seconds
(in bacteria), but may get the end points out by a few bases and will
probably miss wierd rRNAs. The HMM models it uses are derived from Rfam,