SNiPhunter: A SNP-Based Search Engine
AbstractProcuring biomedical literature is a time-consuming process. The genomic sciences software solution described here indexes literature from Pubmed Central’s open access initiative, and makes it available as a web application and through an application programming interface (API). The purpose of this tertiary data artifact—called SNiPhunter—is to assist researchers in finding articles relevant to a reference single nucleotide polymorphism (SNP) identifier of interest. A novel feature of this NoSQL (not only structured query language) database search engine is that it returns results to the user ordered according to the amount of times a refSNP has appeared in an article, thereby allowing the user to make a quantitative estimate as to the relevance of an article. Queries can also be launched using author-defined keywords. Additional features include a variant call format (VCF) file parser and a multiple query file upload service. Software implementation in this project relied on Python and the NodeJS interpreter, as well as third party libraries retrieved from Github. View Full-Text
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Veldsman, W.P.; Christoffels, A. SNiPhunter: A SNP-Based Search Engine. Data 2016, 1, 17.
Veldsman WP, Christoffels A. SNiPhunter: A SNP-Based Search Engine. Data. 2016; 1(3):17.Chicago/Turabian Style
Veldsman, Werner P.; Christoffels, Alan. 2016. "SNiPhunter: A SNP-Based Search Engine." Data 1, no. 3: 17.