{"id":1722,"date":"2017-02-07T16:49:08","date_gmt":"2017-02-07T16:49:08","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=1722"},"modified":"2020-10-27T13:42:43","modified_gmt":"2020-10-27T13:42:43","slug":"biotech-data-analytics","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/pt\/biotech-data-analytics\/","title":{"rendered":"Por que a biotecnologia precisa do poder da an\u00e1lise de dados"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Tabela de Conte\u00fados<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f18be04bc46\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f18be04bc46\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/biotech-data-analytics\/#Genomics\" title=\"Gen\u00f4mica \">Gen\u00f4mica <\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/biotech-data-analytics\/#Other_Applications\" title=\"Outras aplica\u00e7\u00f5es\">Outras aplica\u00e7\u00f5es<\/a><\/li><\/ul><\/nav><\/div>\n<p>O Projeto Genoma Humano, que visava mapear e sequenciar todo o genoma humano, come\u00e7ou em 1990 e terminou em 2003 com um or\u00e7amento inicial de mais de $1,5 milh\u00f5es. Ele nos forneceu, pela primeira vez, um meio de acessar dados inestim\u00e1veis atrav\u00e9s de genes - padr\u00f5es de evolu\u00e7\u00e3o, doen\u00e7as e seus tratamentos, muta\u00e7\u00f5es de genes e seus efeitos, informa\u00e7\u00f5es antropol\u00f3gicas, etc. Agora, est\u00e3o sendo constru\u00eddos poderosos softwares e ferramentas de an\u00e1lise que podem decodificar um genoma inteiro em quest\u00e3o de horas. <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/data-analysis\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=BiotechAnalytics\">An\u00e1lise de dados<\/a> est\u00e1 rapidamente se tornando um dos ramos mais importantes da ci\u00eancia que pode ser aplicado na ind\u00fastria biotecnol\u00f3gica. Aqui est\u00e3o algumas das principais aplica\u00e7\u00f5es da ci\u00eancia de dados na biotecnologia:<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Genomics\"><\/span><strong>Gen\u00f4mica <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>O seq\u00fcenciamento de DNA gera uma enorme quantidade de dados que precisam ser analisados com cuidado, pois as informa\u00e7\u00f5es e conclus\u00f5es tiradas s\u00e3o aplic\u00e1veis em toda uma gama de ind\u00fastrias, desde a medicina at\u00e9 a ci\u00eancia forense. Envolve a ci\u00eancia dos dados em v\u00e1rios n\u00edveis:<\/p>\n<p><strong>Armazenagem:<\/strong> O primeiro passo \u00e9 o armazenamento de dados de seq\u00fcenciamento de DNA. Se quisermos sequenciar o genoma de cada ser vivo de um micr\u00f3bio para um humano, ent\u00e3o precisamos ter ferramentas poderosas de ci\u00eancia de dados que nos ajudem a armazenar, rastrear e recuperar informa\u00e7\u00f5es relevantes.<\/p>\n<p><strong>Anota\u00e7\u00e3o:<\/strong> A anota\u00e7\u00e3o \u00e9 o processo de adi\u00e7\u00e3o de notas a genes espec\u00edficos na seq\u00fc\u00eancia. Est\u00e3o sendo constru\u00eddas ferramentas para colocar em pr\u00e1tica um sistema automatizado de anota\u00e7\u00e3o, que requer reconhecimento e identifica\u00e7\u00e3o de padr\u00f5es.<\/p>\n<p><strong>Visualiza\u00e7\u00e3o:<\/strong> O DNA pode ser visualizado em muitos n\u00edveis e em diferentes dimens\u00f5es. Ferramentas de visualiza\u00e7\u00e3o de dados ajudam a entender estes dados na forma de v\u00e1rios layouts, mostrando correla\u00e7\u00f5es e ajudando o usu\u00e1rio a identificar problemas facilmente. A an\u00e1lise de dados tamb\u00e9m ajuda a construir um software de DNA robusto com recursos como zoom, pan e recursos interativos incorporados \u00e0 interface para facilitar o estudo r\u00e1pido. Novas e inovadoras formas de visualiza\u00e7\u00e3o tamb\u00e9m est\u00e3o chegando ao mercado!<\/p>\n<blockquote class=\"twitter-tweet\" data-lang=\"en\">\n<p dir=\"ltr\" lang=\"ro\">Martin Krzywinski discute Circos, webcast 4 pm EST WIRED\/MD Anderson <a href=\"https:\/\/twitter.com\/hashtag\/WIREDHealth?src=hash&amp;ref_src=twsrc%5Etfw\">#WIREDSa\u00fade<\/a> <a href=\"http:\/\/t.co\/7dV7a3mYAv\">http:\/\/t.co\/7dV7a3mYAv<\/a> <a href=\"http:\/\/t.co\/N8412zOLVg\">pic.twitter.com\/N8412zOLVg<\/a><\/p>\n<p>- Scott Merville (@smerv) <a href=\"https:\/\/twitter.com\/smerv\/status\/398115476934389760?ref_src=twsrc%5Etfw\">6 de novembro de 2013<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p><strong>An\u00e1lise:<\/strong> O software de an\u00e1lise de dados ajuda a extrair certas infer\u00eancias de seq\u00fc\u00eancias e muta\u00e7\u00f5es gen\u00e9ticas espec\u00edficas que s\u00e3o inestim\u00e1veis na ind\u00fastria da sa\u00fade. As informa\u00e7\u00f5es obtidas a partir da an\u00e1lise de dados tamb\u00e9m podem ser aplicadas na esfera de descoberta e desenvolvimento de medicamentos para direcionar doen\u00e7as espec\u00edficas e personalizar as abordagens de tratamento.<\/p>\n<p>Ilumina, uma empresa que vende ferramentas de an\u00e1lise de seq\u00fcenciamento de DNA, \u00e9 tudo <a href=\"https:\/\/www.fool.com\/investing\/general\/2017\/02\/06\/why-illumina-inc-soared-25-in-january.aspx\">configurada para lan\u00e7ar duas novas m\u00e1quinas de seq\u00fcenciamento<\/a> que permitem uma vis\u00e3o mais precisa dos genes.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Other_Applications\"><\/span><strong>Outras aplica\u00e7\u00f5es<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Researchers in biotech are often pressurized by time, but contrarily, the <a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">pesquisa<\/a> undertaken to achieve a desired result can go on for years. Data analytics, when applied to clinical trials and experiments, help quickly identify the source of error with greater ease. They also help build predictive models and provide information on optimum parameters that will achieve the desired outcome of an experiment.<\/p>\n<p>A modelagem de dados ajuda as empresas biotecnol\u00f3gicas e farmac\u00eauticas a selecionar os medicamentos antes de escolherem aquele que \u00e9 mais eficaz, com base no feedback gerado por computador. As melhores op\u00e7\u00f5es s\u00e3o ent\u00e3o levadas adiante nos ensaios cl\u00ednicos. A an\u00e1lise tamb\u00e9m ajuda os hospitais a monitorar e avaliar o progresso dos pacientes e seus planos de tratamento. A Genentech tem <a href=\"https:\/\/hbr.org\/2016\/11\/the-promise-and-challenge-of-big-data-for-pharma\">desenvolveu um banco de dados de pacientes<\/a> anteriormente diagnosticado e tratado para o c\u00e2ncer, e isto agora est\u00e1 ajudando-os a escolher terapias eficazes para os pacientes atualmente em tratamento.\u00a0<a href=\"http:\/\/www.prnewswire.com\/news-releases\/welltok-acquires-leading-healthcare-analytics-company-predilytics-300085640.html\">Predil\u00edticos<\/a>Uma empresa de an\u00e1lise preditiva de sa\u00fade, registrou os dados de cerca de 250 milh\u00f5es de consumidores, criando insights sobre onde, o qu\u00ea e quando das necessidades dos pacientes.<\/p>\n<p>As empresas de biotecnologia agr\u00edcola tamb\u00e9m podem tirar proveito das ferramentas da ci\u00eancia dos dados, utilizando-as para identificar as culturas de melhor desempenho com o m\u00ednimo impacto sobre o meio ambiente, especialmente entre as plantas geneticamente modificadas.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-1724\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/02\/pharma-300x180.jpg\" alt=\"farma\" width=\"300\" height=\"180\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/02\/pharma-300x180.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/02\/pharma-768x461.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/02\/pharma.jpg 960w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2017\/02\/pharma-300x180@2x.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>O <a href=\"https:\/\/hbr.org\/2016\/11\/the-promise-and-challenge-of-big-data-for-pharma\">ind\u00fastria farmac\u00eautica em particular<\/a> tem visto uma explos\u00e3o de dados que agora est\u00e3o dispon\u00edveis para eles, e com isso, o mapeamento de pequenos ensaios cl\u00ednicos para situa\u00e7\u00f5es do mundo real est\u00e1 se tornando cada vez mais desafiador. Os dados \u00e0 sua disposi\u00e7\u00e3o v\u00eam em uma variedade de formatos e muitas vezes s\u00e3o ruidosos, de modo que os cientistas t\u00eam que criar um software que lustre esses dados brutos e forne\u00e7a solu\u00e7\u00f5es precisas.<\/p>\n<p>Grandes dados tamb\u00e9m ajudam as empresas a obter uma vis\u00e3o mais profunda de seu mercado, e a adaptar solu\u00e7\u00f5es para p\u00fablicos espec\u00edficos com base em seus comportamentos. Dentro de uma organiza\u00e7\u00e3o, a an\u00e1lise de dados pode ajudar a tornar as opera\u00e7\u00f5es mais eficazes e eficientes. Isto <a href=\"http:\/\/www.mckinsey.com\/industries\/pharmaceuticals-and-medical-products\/our-insights\/how-big-data-can-revolutionize-pharmaceutical-r-and-d\">relat\u00f3rio publicado pela McKinsey<\/a>\u00a0delineia oito maneiras pelas quais as empresas farmac\u00eauticas podem se beneficiar de grandes dados.<\/p>\n<p><a href=\"https:\/\/www.semrush.com\/topic-research\/5ab257623be7693aed1b1bc5\/\">An\u00e1lise de dados<\/a> fornece uma m\u00e9trica detalhada para que as empresas de biotecnologia sejam capazes de identificar gargalos e superar desafios. Ela induz decis\u00f5es inequ\u00edvocas e orientadas por dados, que podem fortalecer as opera\u00e7\u00f5es, processos, vendas e, por sua vez, seu futuro de uma organiza\u00e7\u00e3o.<\/p>\n<p><strong>Precisa de ajuda na an\u00e1lise de dados biotecnol\u00f3gicos? Obtenha ajuda de um freelance <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/biotechnology\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=BiotechAnalytics\">consultor em biotecnologia<\/a> ou <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/data-analysis\/?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=BiotechAnalytics\">analista de dados freelance<\/a> em Kolabtree.\u00a0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>O Projeto Genoma Humano, que visava mapear e sequenciar todo o genoma humano, come\u00e7ou em 1990 e terminou em 2003 com um or\u00e7amento inicial de mais de $1,5 milh\u00f5es. Ele nos forneceu, pela primeira vez, um meio de acessar dados inestim\u00e1veis atrav\u00e9s de genes - padr\u00f5es de evolu\u00e7\u00e3o, doen\u00e7as e seus tratamentos, muta\u00e7\u00f5es de genes e seus efeitos,<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/biotech-data-analytics\/\" title=\"Leia mais\">Leia mais<\/a><\/div>","protected":false},"author":12,"featured_media":1723,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[442,305,398,304],"tags":[252,180,175,222,325],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why biotech needs the power of data analytics | Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Data analytics helps the biotech industry access improved storage and visualization of DNA sequencing data, clinical trial design and 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