{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T14:39:17Z","timestamp":1759588757845},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"17","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: In order to assess the stability of DNA\u2013DNA hybridizations\u2014for example during PCR primer design or oligonucleotide selection for microarrays\u2014one needs to predict the change in Gibbs free energy \u0394G during hybridization. The nearest neighbor model provides a good compromise between accuracy and computational simplicity for this task.<\/jats:p>\n               <jats:p>To determine optimal combinations of reaction parameters (temperature, salt concentration, oligonucleotide length and GC-content), one would like to understand how \u0394G depends on all of these parameters simultaneously.<\/jats:p>\n               <jats:p>Results: We derive analytic results about the distribution of nearest neighbor \u0394G values for a Bernoulli random sequence model (specified by oligonucleotide length and average GC-content) under given experimental conditions. We find that the distribution of \u0394G values is approximately Gaussian and provide exact formulas for expectation and variance.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bth334","type":"journal-article","created":{"date-parts":[[2004,6,17]],"date-time":"2004-06-17T00:34:02Z","timestamp":1087432442000},"page":"2928-2933","source":"Crossref","is-referenced-by-count":5,"title":["Mean and variance of the Gibbs free energy of oligonucleotides in the nearest neighbor model under varying conditions"],"prefix":"10.1093","volume":"20","author":[{"given":"Sven","family":"Rahmann","sequence":"first","affiliation":[]},{"given":"Christine","family":"Gr\u00e4fe","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2004,6,16]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/17\/2928\/48906409\/bioinformatics_20_17_2928.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/17\/2928\/48906409\/bioinformatics_20_17_2928.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T15:58:29Z","timestamp":1674662309000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/20\/17\/2928\/185856"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,6,16]]},"references-count":0,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2004,11,22]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bth334","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2004,11,22]]},"published":{"date-parts":[[2004,6,16]]}}}