{"id":104,"date":"2017-03-16T15:47:29","date_gmt":"2017-03-16T22:47:29","guid":{"rendered":"https:\/\/genome.ucsd.edu\/?page_id=104"},"modified":"2018-03-05T11:52:47","modified_gmt":"2018-03-05T19:52:47","slug":"related-publications","status":"publish","type":"page","link":"https:\/\/genome.ucsd.edu\/index.php\/research\/quantitative-transcriptomics\/related-publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h5><span style=\"color: #ff5733;\">QUANTITATIVE TRANSCRIPTOMICS<\/h5>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>Technical Variations in Low-input RNA-seq methodologies. <\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nScience Reports. 2014 Jan 14; 4: 3678 <b><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/24419370\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/b><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Bhargava V, Head SR, Ordoukhanian P, Mercola M, Subramaniam S.<\/p>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>Quantitative transcriptomics using designed primer-based amplification.<\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nScience Reports. 2013 Apr 29; 3: 1740 <b><a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/23624976\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/b><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Bhargava V, Ko P, Willems E, Mercola M, Subramaniam S.<\/p>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>Gene-expression measurement: variance-modeling considerations for robust data analysis.<\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nNature Immunology. 2012 Feb 16; 13 (3): 199-203 <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22344273\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Subramaniam S, Hsiao G.<\/p>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>Bivariate microarray analysis: statistical interpretation of two-channel functional genomics data.<\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nSystems &amp; Synthetic Biology. 2008 Dec; 2 (3-4): 95-104.<b><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Bivariate+microarray+analysis%3A+statistical+interpretation+of+two-channel+functional+genomics+data.\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/b><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Hsiao A, Subramaniam S.<\/p>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>VAMPIRE microarray suite: a web-based platform for the interpretation of gene expression data.<\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nNucleic Acids Research. 2005 Jul 1; 33 (Web Server issue): W627-W632.<b><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=VAMPIRE+microarray+suite%3A+a+web-based+platform+for+the+interpretation+of+gene+expression+data.\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/b><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Hsiao, A. Idekker T, Olefsky JM, Subramaniam S.<\/p>\n<p class=\"title\"><span style=\"color: #000000; font-size: large;\"><b>Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytes.<\/b><\/span><span style=\"color: #008080; font-size: large;\"><br \/>\nBioinformatics. 2004 Nov 22; 20 (17): 3108-3127 <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Variance-modeled+posterior+inference+of+microarray+data%3A+detecting+gene-expression+changes+in+3T3-L1+adipocytes.\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #ff5733; font-size: small;\"> PubMed<\/span><\/a><\/span><\/p>\n<p class=\"desc\" style=\"font-size: large;\">Hsiao A, Worrall DS, Olefsky JM, Subramaniam S.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>QUANTITATIVE TRANSCRIPTOMICS Technical Variations in Low-input RNA-seq methodologies. Science Reports. 2014 Jan 14; 4: 3678 PubMed Bhargava V, Head SR, Ordoukhanian P, [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":64,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page_fullwidth.php","meta":{"footnotes":""},"class_list":["post-104","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/pages\/104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":11,"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/pages\/104\/revisions"}],"predecessor-version":[{"id":849,"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/pages\/104\/revisions\/849"}],"up":[{"embeddable":true,"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/pages\/64"}],"wp:attachment":[{"href":"https:\/\/genome.ucsd.edu\/index.php\/wp-json\/wp\/v2\/media?parent=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}