{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:39:32Z","timestamp":1740184772891,"version":"3.37.3"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"18","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000026","name":"National Institute on Drug Abuse","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000016","name":"DHHS","doi-asserted-by":"publisher","award":["R01DA051906"],"award-info":[{"award-number":["R01DA051906"]}],"id":[{"id":"10.13039\/100000016","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Traditionally, an individual can only query and retrieve information from a genome browser by using accessories such as a mouse and keyboard. However, technology has changed the way that people interact with their screens. We hypothesized that we could leverage technological advances to use voice recognition as an interactive input to query and visualize genomic information.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We developed an Amazon Alexa skill called Gene Tracer that allows users to use their voice to find disease-associated gene information, deleterious mutations and gene networks, while simultaneously enjoy a genome browser-like visualization experience on their screen. As the voice can be well recognized and understood, Gene Tracer provides users with more flexibility to acquire knowledge and is broadly applicable to other scenarios.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availabilityand implementation<\/jats:title>\n                  <jats:p>Alexa skill store (https:\/\/www.amazon.com\/LT-Gene-tracer\/dp\/B08HCL1V68\/) and a demonstration video (https:\/\/youtu.be\/XbDbx7JDKmI).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab107","type":"journal-article","created":{"date-parts":[[2021,3,31]],"date-time":"2021-03-31T19:14:45Z","timestamp":1617218085000},"page":"2998-3000","source":"Crossref","is-referenced-by-count":1,"title":["Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization"],"prefix":"10.1093","volume":"37","author":[{"given":"Shaoke","family":"Lou","sequence":"first","affiliation":[{"name":"Department of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520, USA"},{"name":"Program of Computational Biology and Bioinformatics, Yale University , New Haven, CT 06520, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9147-7511","authenticated-orcid":false,"given":"Tianxiao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520, USA"},{"name":"Program of Computational Biology and Bioinformatics, Yale University , New Haven, CT 06520, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520, USA"},{"name":"Program of Computational Biology and Bioinformatics, Yale University , New Haven, CT 06520, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9746-3719","authenticated-orcid":false,"given":"Mark","family":"Gerstein","sequence":"additional","affiliation":[{"name":"Department of Molecular Biophysics and Biochemistry, Yale University , New Haven, CT 06520, USA"},{"name":"Program of Computational Biology and Bioinformatics, Yale University , New Haven, CT 06520, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,4,1]]},"reference":[{"key":"2023061310542194900_btab107-B1","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1002\/cpbi.23","article-title":"Using FunSeq2 for coding and non-coding variant annotation and prioritization","volume":"57","author":"Dhingra","year":"2017","journal-title":"Curr. 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