{"id":2240,"date":"2020-04-23T08:32:11","date_gmt":"2020-04-23T12:32:11","guid":{"rendered":"https:\/\/www.med.unc.edu\/barc\/?page_id=2240"},"modified":"2023-09-20T07:36:45","modified_gmt":"2023-09-20T11:36:45","slug":"home","status":"publish","type":"page","link":"https:\/\/www.med.unc.edu\/barc\/","title":{"rendered":"Home"},"content":{"rendered":"<p>&nbsp;<\/p>\n<h1 style=\"text-align: center\"><strong>Welcome to the Bioinformatics and Analytics Research Collaborative (BARC)<\/strong><\/h1>\n<p>&nbsp;<\/p>\n<h1 style=\"text-align: center\"><\/h1>\n<h2 class=\"section-som\"><span>Open to all, focused on unmet need<\/span><\/h2>\n<div id=\"myCarousel\" class=\"carousel slide\" data-ride=\"carousel\">\n      <ol class=\"carousel-indicators\">\n        <li data-target=\"#myCarousel\" data-slide-to=\"0\" class=\"active\"><\/li>\n        <li data-target=\"#myCarousel\" data-slide-to=\"1\" class=\"\"><\/li>\n        <li data-target=\"#myCarousel\" data-slide-to=\"2\" class=\"\"><\/li>\n      <\/ol>\n        <div class=\"carousel-inner\" role=\"listbox\">\n\n        <div class=\"item  active\">\n        <div class=\"row\">\n    <div class=\"container\">\n<div class=\"col-lg-4 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"photograph\">\n    <a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100196\"><img decoding=\"async\" src=\"https:\/\/www.med.unc.edu\/barc\/wp-content\/themes\/heelium-white-coat\/images\/default_feat_img.jpg\" class=\"attachment-post_thumbshort size-post_thumbshort wp-post-image\"\/><\/a>\n        <\/div>\n            <\/div>\n<div class=\"col-lg-8 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"caption\">\n                            <h3 class=\"media-heading\"><a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100196\" rel=\"bookmark\" title=\"Interindividual Variability in Imatinib Metabolism in Human Liver Microsomes and Primary Human Hepatocytes: Impact of CYP2C8 and CYP3A Phenotypes\">Interindividual Variability in Imatinib Metabolism in Human Liver Microsomes and Primary Human Hepatocytes: Impact of CYP2C8 and CYP3A Phenotypes<\/a><\/h3>\n                            <p><p>Abstract Imatinib is a kinase inhibitor used in the treatment of chronic myeloid leukemia (CML) and other cancers. Although its pharmacokinetics are generally predictable, substantial interindividual variability in clearance and exposure remains. In this study, we investigated the impact of cytochrome P450 (CYP) enzymes: CYP2C8, CYP3A4, and CYP3A5 phenotypes and genotypes on imatinib metabolism using &hellip; <a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100196\" aria-label=\"Read more about Interindividual Variability in Imatinib Metabolism in Human Liver Microsomes and Primary Human Hepatocytes: Impact of CYP2C8 and CYP3A Phenotypes\">Read more<\/a><\/p>\n<\/p>\n                            <div class=\"slide-btn-primary\"><a class=\"btn\" href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100196\">Read Story<\/a><\/div>\n\n<\/div>\n    <\/div>\n            <\/div>\n    <\/div>\n            <\/div>\n\n        <div class=\"item \">\n        <div class=\"row\">\n    <div class=\"container\">\n<div class=\"col-lg-4 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"photograph\">\n    <a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100195\"><img decoding=\"async\" src=\"https:\/\/www.med.unc.edu\/barc\/wp-content\/themes\/heelium-white-coat\/images\/default_feat_img.jpg\" class=\"attachment-post_thumbshort size-post_thumbshort wp-post-image\"\/><\/a>\n        <\/div>\n            <\/div>\n<div class=\"col-lg-8 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"caption\">\n                            <h3 class=\"media-heading\"><a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100195\" rel=\"bookmark\" title=\"NAT1 and NAT2 Enzyme Activity Drive Interindividual Variability in Sulfamethoxazole N-Acetylation\">NAT1 and NAT2 Enzyme Activity Drive Interindividual Variability in Sulfamethoxazole N-Acetylation<\/a><\/h3>\n                            <p><p>Abstract Sulfamethoxazole (SMX) is associated with idiosyncratic drug induced liver injury (DILI), which remains difficult to predict. SMX is metabolized by\u00a0N-acetyltransferases (NAT1\/NAT2) to form\u00a0N4-acetyl sulfamethoxazole (NA-SMX), and by cytochrome P450-mediated oxidation to form SMX-hydroxylamine (SMX-HA). This study aimed to characterize SMX metabolism\u00a0in vitro\u00a0and investigate how\u00a0NAT1\u00a0and\u00a0NAT2\u00a0variation influences NA-SMX formation, including the relationship between NAT2 protein levels &hellip; <a href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100195\" aria-label=\"Read more about NAT1 and NAT2 Enzyme Activity Drive Interindividual Variability in Sulfamethoxazole N-Acetylation\">Read more<\/a><\/p>\n<\/p>\n                            <div class=\"slide-btn-primary\"><a class=\"btn\" href=\"https:\/\/doi.org\/10.1016\/j.dmd.2025.100195\">Read Story<\/a><\/div>\n\n<\/div>\n    <\/div>\n            <\/div>\n    <\/div>\n            <\/div>\n\n        <div class=\"item \">\n        <div class=\"row\">\n    <div class=\"container\">\n<div class=\"col-lg-4 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"photograph\">\n    <a href=\"https:\/\/doi.org\/10.1093\/nar\/gkaf345\"><img decoding=\"async\" src=\"https:\/\/www.med.unc.edu\/barc\/wp-content\/themes\/heelium-white-coat\/images\/default_feat_img.jpg\" class=\"attachment-post_thumbshort size-post_thumbshort wp-post-image\"\/><\/a>\n        <\/div>\n            <\/div>\n<div class=\"col-lg-8 col-md-12 col-sm-12 col-xs-12\">\n<div class=\"caption\">\n                            <h3 class=\"media-heading\"><a href=\"https:\/\/doi.org\/10.1093\/nar\/gkaf345\" rel=\"bookmark\" title=\"Dynamic activation of rAAV transgene expression by a small molecule that recruits endogenous transcriptional machinery\">Dynamic activation of rAAV transgene expression by a small molecule that recruits endogenous transcriptional machinery<\/a><\/h3>\n                            <p><p>Abstract Adeno-associated virus (AAV) gene therapies typically use constitutive transgene expression vectors that cannot be altered after vector administration. Here, we describe a bioorthogonal platform for tuning AAV expression which enables the controlled activation of viral transgenes after transduction. This platform uses a small, synthetic DNA-binding protein embedded in the AAV genome coupled with a &hellip; <a href=\"https:\/\/doi.org\/10.1093\/nar\/gkaf345\" aria-label=\"Read more about Dynamic activation of rAAV transgene expression by a small molecule that recruits endogenous transcriptional machinery\">Read more<\/a><\/p>\n<\/p>\n                            <div class=\"slide-btn-primary\"><a class=\"btn\" href=\"https:\/\/doi.org\/10.1093\/nar\/gkaf345\">Read Story<\/a><\/div>\n\n<\/div>\n    <\/div>\n            <\/div>\n    <\/div>\n            <\/div>\n\n<\/div>\n<\/div>\n\n<h2 style=\"text-align: center\">About Us<\/h2>\n<article id=\"intro\">The Bioinformatics and Analytics Research Collaborative (BARC) at the University of North Carolina at Chapel Hill is a multi disciplinary center that aims to provide bioinformatics expertise and analysis to researchers across the university and beyond for high throughput data. We analyze, visualize, interpret, and manage big data while also offering custom solutions to fit our researchers&#8217; needs. Additionally, the center strives to educate researchers on current tools and techniques, foster a collaborative environment by hosting workshops, working groups, and seminars, and improve existing tools and\/or invent new tools and algorithms.<\/p>\n<h2 id=\"how\" class=\"text-center\" style=\"text-align: center\">How We Work<\/h2>\n<p>We offer a free initial consultation for incoming projects during which we discuss the client&#8217;s project and how to ensure they are able to maximize the information that they learn. Afterwards, depending on the scale of the project we provide services by the hours or staff for grant for projects longer than six months. Each project is assigned to a project coordinator and bioinformaticist. The project coordinator is the point of contact for the client and is responsible for updating them on the status of their project.<\/p>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Welcome to the Bioinformatics and Analytics Research Collaborative (BARC) &nbsp; About Us The Bioinformatics and Analytics Research Collaborative (BARC) at the University of North Carolina at Chapel Hill is a multi disciplinary center that aims to provide bioinformatics expertise and analysis to researchers across the university and beyond for high throughput data. We analyze, &hellip; <a href=\"https:\/\/doi.org\/10.1093\/nar\/gkaf345\" aria-label=\"Read more about Dynamic activation of rAAV transgene expression by a small molecule that recruits endogenous transcriptional machinery\">Read more<\/a><\/p>\n","protected":false},"author":79967,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/front-page.php","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2240","page","type-page","status-publish","hentry","odd"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Home - Bioinformatics and Analytics Research Collaborative<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.med.unc.edu\/barc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Home - Bioinformatics and Analytics Research Collaborative\" \/>\n<meta property=\"og:description\" content=\"&nbsp; Welcome to the Bioinformatics and Analytics Research Collaborative (BARC) &nbsp; About Us The Bioinformatics and Analytics Research Collaborative (BARC) at the University of North Carolina at Chapel Hill is a multi disciplinary center that aims to provide bioinformatics expertise and analysis to researchers across the university and beyond for high throughput data. We analyze, &hellip; Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.med.unc.edu\/barc\/\" \/>\n<meta property=\"og:site_name\" content=\"Bioinformatics and Analytics Research Collaborative\" \/>\n<meta property=\"article:modified_time\" content=\"2023-09-20T11:36:45+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@UNC_BARC\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.med.unc.edu\/barc\/\",\"url\":\"https:\/\/www.med.unc.edu\/barc\/\",\"name\":\"Home - Bioinformatics and Analytics Research Collaborative\",\"isPartOf\":{\"@id\":\"https:\/\/www.med.unc.edu\/barc\/#website\"},\"datePublished\":\"2020-04-23T12:32:11+00:00\",\"dateModified\":\"2023-09-20T11:36:45+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.med.unc.edu\/barc\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.med.unc.edu\/barc\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.med.unc.edu\/barc\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.med.unc.edu\/barc\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Home\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.med.unc.edu\/barc\/#website\",\"url\":\"https:\/\/www.med.unc.edu\/barc\/\",\"name\":\"Bioinformatics and Analytics Research Collaborative\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.med.unc.edu\/barc\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Home - Bioinformatics and Analytics Research Collaborative","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.med.unc.edu\/barc\/","og_locale":"en_US","og_type":"article","og_title":"Home - Bioinformatics and Analytics Research Collaborative","og_description":"&nbsp; Welcome to the Bioinformatics and Analytics Research Collaborative (BARC) &nbsp; About Us The Bioinformatics and Analytics Research Collaborative (BARC) at the University of North Carolina at Chapel Hill is a multi disciplinary center that aims to provide bioinformatics expertise and analysis to researchers across the university and beyond for high throughput data. We analyze, &hellip; Read more","og_url":"https:\/\/www.med.unc.edu\/barc\/","og_site_name":"Bioinformatics and Analytics Research Collaborative","article_modified_time":"2023-09-20T11:36:45+00:00","twitter_card":"summary_large_image","twitter_site":"@UNC_BARC","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.med.unc.edu\/barc\/","url":"https:\/\/www.med.unc.edu\/barc\/","name":"Home - Bioinformatics and Analytics Research Collaborative","isPartOf":{"@id":"https:\/\/www.med.unc.edu\/barc\/#website"},"datePublished":"2020-04-23T12:32:11+00:00","dateModified":"2023-09-20T11:36:45+00:00","breadcrumb":{"@id":"https:\/\/www.med.unc.edu\/barc\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.med.unc.edu\/barc\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.med.unc.edu\/barc\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.med.unc.edu\/barc\/"},{"@type":"ListItem","position":2,"name":"Home"}]},{"@type":"WebSite","@id":"https:\/\/www.med.unc.edu\/barc\/#website","url":"https:\/\/www.med.unc.edu\/barc\/","name":"Bioinformatics and Analytics Research Collaborative","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.med.unc.edu\/barc\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links_to":[],"_links_to_target":[],"_links":{"self":[{"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/pages\/2240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/users\/79967"}],"replies":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/comments?post=2240"}],"version-history":[{"count":0,"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/pages\/2240\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.med.unc.edu\/barc\/wp-json\/wp\/v2\/media?parent=2240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}