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. 2019 Mar 19;9:4846. doi: 10.1038/s41598-019-40949-0

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Bioinformatic pipeline developed for the identification and classification of molluscan and lophotrochozoan pNP and prohormone sequences. (A) The lophotrochozoan and molluscan databases were downloaded from Sequence read archive (https://www.ncbi.nlm.nih.gov/sra), pre-processed, and assembled locally (not shown). (B) Predicted coding sequence regions from genomic data were downloaded and used when available. Identification of the sine-qua-non prerequisites present in the peptide sequences, clustering, and removal of false positive sequences were performed with several bioinformatics tools (e.g., signal, blast, hmmsearch). (C) Orthology assignments and phylogenetic analysis were performed using all-against-all comparisons with psi-blast and blastp as implemented in the CLANS software. (D) Downstream annotation of the identified peptide sequences were aided through multiple sequence alignments, motif identification, and manual inspection.