In parallel, a web application was developed to present the information and provide computational access via a web service. Using the ‘FASTLipid’ Java library, a database was populated with theoretical lipids, generated from a set of community agreed upon chemical bounds. This work aims to reduce the gap by developing an equivalent resource to UniProt called ‘LipidHome’, providing theoretically generated lipid molecules and useful metadata. While having a seasoned community of wet lab scientists, lipidomics lies significantly behind proteomics in the adoption of data standards and other core bioinformatics concepts. Taken largely for granted, similar mature resources such as UniProt are not available yet in some other “omics” fields, lipidomics being one of them. One example of such resources is UniProt, enriched with both expertly curated and automatic annotations.
Protein sequence databases are the pillar upon which modern proteomics is supported, representing a stable reference space of predicted and validated proteins.
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