The following files were retrieved from NCBI
https://www.ncbi.nlm.nih.gov/assembly/LREC.Models_GCA_001188405.1

Information about this dataset can be found here: https://i5k.nal.usda.gov/bio_data/836483

Information about the functional annotation pipeline can be found here: https://www.mdpi.com/2075-4450/12/8/748
Instruction for running the functional annotation pipeline can be found here: https://agbase-docs.readthedocs.io/en/latest/agbase/workflow.html

The file LREC.Models_GCA_001188405.1_pep.fa was post-processed with agbase/goanna:2.2 (https://hub.docker.com/repository/docker/agbase/goanna) docker container to generate GO functional annotation.
GOanna was run with these options: -a,invertebrates; -f,3; -g,70; -k,9; -q,70; -r,1.2.
The resulting files are:

LREC.Models_GCA_001188405.1.asn
LREC.Models_GCA_001188405.1.gaf.tsv
LREC.Models_GCA_001188405.1.html
LREC.Models_GCA_001188405.1.tsv

The file LREC.Models_GCA_001188405.1_pep.fa was post-processed with agbase/interproscan:5.54-87 (https://hub.docker.com/repository/docker/agbase/interproscan) docker container to generate GO and pathway functional annotation. The resulting files are:

LREC_acc_go_counts.txt
LREC_acc_interpro_counts.txt
LREC_acc_pathway_counts.txt
LREC.err
LREC_gaf.txt
LREC.gff3
LREC_go_counts.txt
LREC_interpro_counts.txt
LREC.json
LREC_pathway_counts.txt
LREC.tsv
LREC.xml


The file LREC.Models_GCA_001188405.1_pep.fa was post-processed with agbase/kobas:3.0.3_0 (https://hub.docker.com/repository/docker/agbase/kobas) docker container to generate pathway functional annotation. The resulting files are:

LREC.Models_GCA_001188405.1_KOBAS_acc_pathways.tsv
LREC.Models_GCA_001188405.1_KOBAS_pathways_acc.tsv
LREC.Models_GCA_001188405.1_KOBAS.txt


The GAF output files from InterProScan and GOanna were combined into a single GAF file using agbase/combine_gafs:1.0 (https://hub.docker.com/repository/docker/agbase/combine_gafs)

LREC.Models_GCA_001188405.1_complete.gaf.tsv