{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T04:15:08Z","timestamp":1728360908805},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2004,10,2]],"date-time":"2004-10-02T00:00:00Z","timestamp":1096675200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"},{"start":{"date-parts":[[2004,10,2]],"date-time":"2004-10-02T00:00:00Z","timestamp":1096675200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"Abstract<\/jats:title>\n Background<\/jats:title>\n Microarray is a high-throughput technology to study expression of thousands of genes in parallel. A critical aspect of microarray production is the design aimed at space optimization while maximizing the number of gene probes and their replicates to be spotted.<\/jats:p>\n <\/jats:sec>\n Results<\/jats:title>\n We have developed a software called 'ArrayD' that offers various alternative design solutions for an array given a set of user requirements. The user feeds the following inputs: type of source plates to be used, number of gene probes to be printed, number of replicates and number of pins to be used for printing. The solutions are stored in a text file. The choice of a design solution to be used will be governed by the spotting chemistry to be used and the accuracy of the robot.<\/jats:p>\n <\/jats:sec>\n Conclusions<\/jats:title>\n ArrayD is a software for standard cartesian robots. The software aids users in preparing a judicious and elegant design. ArrayD is universally applicable and is available at http:\/\/www.igib.res.in\/scientists\/arrayd\/arrayd.html<\/jats:ext-link>.<\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/1471-2105-5-142","type":"journal-article","created":{"date-parts":[[2004,10,8]],"date-time":"2004-10-08T06:24:20Z","timestamp":1097216660000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["ArrayD: A general purpose software for Microarray design"],"prefix":"10.1186","volume":"5","author":[{"given":"Anu","family":"Sharma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gyan Prakash","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vineet K","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivasan","family":"Ramachandran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2004,10,2]]},"reference":[{"key":"258_CR1","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1126\/science.270.5235.467","volume":"270","author":"M Schena","year":"1995","unstructured":"Schena M, Shalon D, Davis RW, Brown PO: Quantitative monitoring of gene expression patterns with a complementary DNA microarray.\n Science 1995, 270: 467\u201370.","journal-title":"Science"},{"key":"258_CR2","doi-asserted-by":"publisher","first-page":"10614","DOI":"10.1073\/pnas.93.20.10614","volume":"93","author":"M Schena","year":"1996","unstructured":"Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW: Parallel human genome analysis: microarray-based expression monitoring of 1000 genes.\n Proc Natl Acad Sci U S A 1996, 93: 10614\u20139. 10.1073\/pnas.93.20.10614","journal-title":"Proc Natl Acad Sci U S A"},{"key":"258_CR3","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1002\/bies.950180513","volume":"18","author":"M Schena","year":"1996","unstructured":"Schena M: Genome analysis with gene expression microarrays.\n Bioessays 1996, 18: 427\u201331.","journal-title":"Bioessays"},{"issue":"suppl","key":"258_CR4","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1038\/ng1042","volume":"32","author":"DL Gerhold","year":"2002","unstructured":"Gerhold DL, Jensen RV, Gullans SR: Better therapeutics through microarrays.\n Nature Genetics 2002, 32(suppl):547\u2013552. 10.1038\/ng1042","journal-title":"Nature Genetics"},{"issue":"suppl","key":"258_CR5","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1038\/ng1029","volume":"32","author":"EF Petricoin III","year":"2002","unstructured":"Petricoin III EF, Hackett JL, Lesko LJ, Puri RK, Gutman SI, Chumakov K, Woodcock J, Feigal DW, Zoon KC Jr, Sistare FD: Medical applications of microarray technologies: a regulatory science perspective.\n Nature Genetics 2002, 32(suppl):474\u2013479. 10.1038\/ng1029","journal-title":"Nature Genetics"},{"key":"258_CR6","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"TR Golub","year":"1999","unstructured":"Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD, Lander ES: Molecular classification of cancer class discovery and class prediction by gene expression monitoring.\n Science 1999, 286: 531\u20137. 10.1126\/science.286.5439.531","journal-title":"Science"},{"key":"258_CR7","doi-asserted-by":"publisher","first-page":"513","DOI":"10.3201\/eid0605.000511","volume":"6","author":"CA Cummings","year":"2000","unstructured":"Cummings CA, Relman DA.: Using DNA microarrays to study host-microbe interactions.\n Emerg Infect Dis 2000, 6: 513\u201325.","journal-title":"Emerg Infect Dis"},{"key":"258_CR8","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1038\/35076576","volume":"2","author":"J Quackenbush","year":"2001","unstructured":"Quackenbush J: Computational analysis of microarray data.\n Nat Rev Genet 2001, 2: 418\u201327. 10.1038\/35076576","journal-title":"Nat Rev Genet"},{"key":"258_CR9","volume-title":"Microarray analysis","author":"M Schena","year":"2002","unstructured":"Schena M: Microarray analysis. Hoboken, New Jersey: Wiley and Sons, Inc; 2002."},{"key":"258_CR10","unstructured":"Arrayit Web site[http:\/\/arrayit.com\/Products\/Printing\/Stealth\/stealth.html]"},{"key":"258_CR11","unstructured":"ArrayD Web site[http:\/\/www.igib.res.in\/scientists\/arrayd\/arrayd.html]"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-5-142.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/1471-2105-5-142\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-5-142.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T12:18:16Z","timestamp":1728303496000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-5-142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,10,2]]},"references-count":11,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2004,12]]}},"alternative-id":["258"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-5-142","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2004,10,2]]},"assertion":[{"value":"3 June 2004","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2004","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2004","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"142"}}