Protein database for SAGApipeline

Proteins from multiple databases were used in algal genome annotation. We first downloaded the protein data of green algae (Chlorophyta) and red algae (Rhodophyta) on UniProt for 10 higher-quality assemblies gene predictions. We refer to these protein sequences for RefSeq genomes gene prediction as seed_algae_mix, whose role is to complete gene prediction of higher quality genomes quickly and accurately. These predicted results obtained in the RefSeq genomes will be used as the query sequences to query the NR (RefSeq non-redundant proteins) database, Then the searched target sequence is extracted as the NR_extract part. Subsequently, we retrieved the protein sequences on Uniprot of all lineages of algae, please note that we did not select only the protein sequences of the 17 lineages to be annotated, but all algae from the 21 lineages searched on NCBI taxonomy, a total of 2,432,633 (1.17GB) algae protein sequences named total_algae_mix were for future predictions. The plants part of OrthoDB V10.1 and BUSCO proteins of 7 lineages were also merged into pr_total_mix.