What is GOMAP?

Gene Ontology - Meta Annotator for Plants (GOMAP) is a pipeline that annotates GO terms to plant protein sequences. The pipeline uses 3 different approaches to annotate GO terms to plant proteins and uses a mix of custom code and existing software tools to assign GO terms. The pipeline was designed to create a high confidence GO annotation dataset for reference proteomes, and it is recommended that the pipeline in it’s current form used to annotate proteomes. The main pipeline is written in Python and R, and other software tools used will be briefly described in the next Section.

What annotation methods are used to assign GO terms?

Sequence-similarity based methods

Sequence-similarity based GO annotations were performed using the reciprocal-best-hit method against two different datasets, namely TAIR and UniProt. The NCBI BLASTP tool will be used reciprocally to search for similar sequences between the protein sequences of target species being annotated and other datasets. The results from BLASTP search will be processed using R script to determine the reciprocal-best-hits and assign GO terms from TAIR and UniProt to the target species.

Domain-presence based methods

Putative protein domains will be assigned to the protein sequence using InterProScan5 pipeline. InterProScan5 is a java based pipeline that finds protein domain signatures in target sequences and assigns GO terms based on the presence of the protein signatures.

Mixed-method pipelines or tools

Three top performing pipelines/tools which have competed in the first iteration of the CAFA competition will be used to assign GO terms to proteins. These tools are Argot2.5, and PANNZER. Each of the tools have specific requirements, setup instructions and pre-processing steps. The details of these steps will be explained in the following sections.