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Background  In most mammals, a vast array of genes coding for chemosensory receptors mediates olfaction. Odorant receptor (OR) genes generally constitute the largest multifamily (> 1100 intact members in the mouse). From the whole pool, each olfactory neuron expresses a single OR allele following poorly characterized mechanisms termed  OR gene choice . OR genes are found in genomic aggregations known as  clusters . Nearby enhancers, named  elements , are crucial regulators of OR gene choice. Despite their importance, searching for new elements is burdensome. Other chemosensory receptor genes responsible for smell adhere to expression modalities resembling OR gene choice, and are arranged in genomic clusters — often with chromosomal linkage to OR genes. Still, no elements are known for them.    Results  Here we present an inexpensive framework aimed at predicting elements. We redefine cluster identity by focusing on multiple receptor gene families at once, and exemplify thirty — not necessarily OR-exclusive — novel candidate enhancers.    Conclusions  The pipeline we introduce could guide future in vivo work aimed at discovering/validating new elements. In addition, our study provides an updated and comprehensive classification of all genomic  loci  responsible for the transduction of olfactory signals in mammals.    Electronic supplementary material  The online version of this article (10.1186/s12859-019-3012-1) contains supplementary material, which is available to authorized users.

A purely bioinformatic pipeline for the prediction of mammalian odorant receptor gene enhancers