12 The literature search was conducted in numerous databases including PubMed, Science Direct, Web of Science, BIOSIS, Journal of Citation Reports, CAB direct, and Google Scholar.
To overcome some of these problems we extensively searched numerous databases, including CAB Abstracts, to ensure maximum coverage of the veterinary literature as outlined by Grindlay et al. [ 80].
As described, SigCS base comprehensively implements numerous genetic databases, including OMIM [ 15], UniProt [ 16], dbSNP [ 17], UCSC genome [ 18], HGNC database [ 19], MSigDB [ 20], providing detailed variant, gene and pathway information to maximize the accuracy of the results produced.
The search for previous genotype-phenotype associations was done by searching numerous literature databases, including Online Mendelian Inheritance in Man (http://omim.org/), Human Gene Mutation Database [ 33], Leiden Open Variation Database [ 34], and RetNet (https://sph.uth.edu/retnet/).edu/retnet/
Numerous extant databases including the US Census, state level air quality, water quality, traffic density, and urban rural classification [based on Rural Urban Commuting Area (RUCA) codes] are also gathered as baseline contextual measures for each CBG.
This register is compiled by methodical searches of 70 different biomedical databases including BIOSIS, CINAHL, Dissertation abstracts, EMBASE, LILACS, MEDLINE, PSYNDEX, PsycINFO, RUSSMED, Sociofile and is supplemented with hand searching of relevant journals and numerous conference proceedings.
Its databases include I.B.M.'s DB2, Oracle and Microsoft's SQL.
The databases include multiple copies of some titles.
Examples of databases include Copernicus 21 Sciences Knowledge database, Taiwan Amphibious Reptile video database, Taiwan Ecology Notebook database, etc.
Databases included ERIC, PsycINFO, and SPORTDiscus.
In addition, numerous databases provide annotation at different biological levels.
