{"id":15,"date":"2023-03-18T21:18:40","date_gmt":"2023-03-18T20:18:40","guid":{"rendered":"http:\/\/insilico-analysis.com\/?page_id=15"},"modified":"2023-12-21T14:59:05","modified_gmt":"2023-12-21T13:59:05","slug":"our-solutions","status":"publish","type":"page","link":"https:\/\/insilico-analysis.com\/index.php\/our-solutions\/","title":{"rendered":"Our solutions"},"content":{"rendered":"<div data-colibri-id=\"15-c1\" class=\"style-335 style-local-15-c1 position-relative\">\r\n  <!---->\r\n  <div data-colibri-component=\"section\" data-colibri-id=\"15-c2\" id=\"overlappable-2\" class=\"h-section h-section-global-spacing d-flex align-items-lg-center align-items-md-center align-items-center style-343 style-local-15-c2 position-relative\">\r\n    <!---->\r\n    <!---->\r\n    <div class=\"h-section-grid-container h-section-boxed-container\">\r\n      <!---->\r\n      <div data-colibri-id=\"15-c3\" class=\"h-row-container gutters-row-lg-2 gutters-row-md-2 gutters-row-0 gutters-row-v-lg-2 gutters-row-v-md-2 gutters-row-v-2 style-351 style-local-15-c3 position-relative\">\r\n        <!---->\r\n        <div class=\"h-row justify-content-lg-center justify-content-md-center justify-content-center align-items-lg-stretch align-items-md-stretch align-items-stretch gutters-col-lg-2 gutters-col-md-2 gutters-col-0 gutters-col-v-lg-2 gutters-col-v-md-2 gutters-col-v-2\">\r\n          <!---->\r\n          <div class=\"h-column h-column-container d-flex h-col-lg-auto h-col-md-auto h-col-auto style-352-outer style-local-15-c4-outer\">\r\n            <div data-colibri-id=\"15-c4\" class=\"d-flex h-flex-basis h-column__inner h-ui-empty-state-container h-px-lg-2 h-px-md-2 h-px-2 v-inner-lg-2 v-inner-md-2 v-inner-2 style-352 style-local-15-c4 position-relative\">\r\n              <!---->\r\n              <!---->\r\n              <div class=\"w-100 h-y-container h-column__content h-column__v-align flex-basis-100\">\r\n                <!---->\r\n              <\/div>\r\n            <\/div>\r\n          <\/div>\r\n        <\/div>\r\n      <\/div>\r\n      <div data-colibri-id=\"15-c5\" class=\"h-row-container gutters-row-lg-0 gutters-row-md-0 gutters-row-2 gutters-row-v-lg-0 gutters-row-v-md-0 gutters-row-v-2 style-344 style-local-15-c5 position-relative\">\r\n        <!---->\r\n        <div class=\"h-row justify-content-lg-center justify-content-md-center justify-content-center align-items-lg-stretch align-items-md-stretch align-items-stretch gutters-col-lg-0 gutters-col-md-0 gutters-col-2 gutters-col-v-lg-0 gutters-col-v-md-0 gutters-col-v-2\">\r\n          <!---->\r\n          <div class=\"h-column h-column-container d-flex h-col-lg-4 h-col-md-4 h-col-12 style-345-outer style-local-15-c6-outer\">\r\n            <div data-colibri-id=\"15-c6\" class=\"d-flex h-flex-basis h-column__inner h-px-lg-3 h-px-md-3 h-px-2 v-inner-lg-3 v-inner-md-3 v-inner-2 style-345 style-local-15-c6 position-relative\">\r\n              <!---->\r\n              <!---->\r\n              <div class=\"w-100 h-y-container h-column__content h-column__v-align flex-basis-100 align-self-lg-start align-self-md-start align-self-start\">\r\n                <!---->\r\n                <div data-colibri-id=\"15-c7\" class=\"h-icon style-346 style-local-15-c7 position-relative h-element\">\r\n                  <!----><span class=\"h-svg-icon h-icon__icon style-346-icon style-local-15-c7-icon\"><!--Icon by Icons8 Line Awesome (https:\/\/icons8.com\/line-awesome)--><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"paper-plane\" viewBox=\"0 0 512 545.5\"><path d=\"M57.5 117.5L86 129l352 144 36.5 15-36.5 15L86 447l-28.5 11.5 7-30 31-140.5-31-140.5zm44.5 53L124.5 272h226zM124.5 304L102 405.5 350.5 304h-226z\"><\/path><\/svg><\/span><\/div>\r\n                <div\r\n                  data-colibri-id=\"15-c8\" class=\"h-global-transition-all h-heading style-347 style-local-15-c8 position-relative h-element\">\r\n                  <!---->\r\n                  <div class=\"h-heading__outer style-347 style-local-15-c8\">\r\n                    <!---->\r\n                    <!---->\r\n                    <h5 class=\"\">DEEP MODELING LANGUAGE&nbsp;<\/h5>\r\n                  <\/div>\r\n              <\/div>\r\n              <div data-colibri-id=\"15-c9\" class=\"h-text h-text-component style-348 style-local-15-c9 position-relative h-element\">\r\n                <!---->\r\n                <!---->\r\n                <div class=\"\">\r\n                  <p>Existing models and pretraining methods are designed and optimized for protein analysis. We combine deep language modeling and our pretraining scheme&nbsp;covering diverse protein properties (including protein structure, post-translational\r\n                    modifications and biophysical attributes).&nbsp;<\/p>\r\n                <\/div>\r\n              <\/div>\r\n            <\/div>\r\n          <\/div>\r\n        <\/div>\r\n        <div class=\"h-column h-column-container d-flex h-col-lg-4 h-col-md-4 h-col-12 style-345-outer style-local-15-c10-outer\">\r\n          <div data-colibri-id=\"15-c10\" class=\"d-flex h-flex-basis h-column__inner h-px-lg-3 h-px-md-3 h-px-2 v-inner-lg-3 v-inner-md-3 v-inner-2 style-345 style-local-15-c10 position-relative\">\r\n            <!---->\r\n            <!---->\r\n            <div class=\"w-100 h-y-container h-column__content h-column__v-align flex-basis-100 align-self-lg-start align-self-md-start align-self-start\">\r\n              <!---->\r\n              <div data-colibri-id=\"15-c11\" class=\"h-icon style-346 style-local-15-c11 position-relative h-element\">\r\n                <!----><span class=\"h-svg-icon h-icon__icon style-346-icon style-local-15-c11-icon\"><!--Icon by Icons8 Line Awesome (https:\/\/icons8.com\/line-awesome)--><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"cubes\" viewBox=\"0 0 512 545.5\"><path d=\"M256 96l6 2.5 96 38.5 10 4v107.5l86.5 37.5 9.5 4.5v129l-8 5-96 53.5-7.5 4-7.5-3.5-89-44.5-89 44.5-7.5 3.5-7.5-4-96-53.5-8-5v-129l9.5-4.5 86.5-37.5V141l10-4 96-38.5zm0 35l-52.5 20.5L256 172l52.5-20.5zm-80 44v74l64 28.5v-78zm160 0l-64 24.5v78l64-28.5v-74zM160 277l-58 25 58 29 58-28.5zm192 0l-40 17.5-18 8 58 28.5 58-29zM80 326.5V401l64 36v-78.5zm352 0l-64 32V437l64-36v-74.5zm-192 1l-64 31V438l64-32v-78.5zm32 0V406l64 32v-79.5z\"><\/path><\/svg><\/span><\/div>\r\n              <div\r\n                data-colibri-id=\"15-c12\" class=\"h-global-transition-all h-heading style-347 style-local-15-c12 position-relative h-element\">\r\n                <!---->\r\n                <div class=\"h-heading__outer style-347 style-local-15-c12\">\r\n                  <!---->\r\n                  <!---->\r\n                  <h5 class=\"\">DATA ANALYSIS<\/h5>\r\n                <\/div>\r\n            <\/div>\r\n            <div data-colibri-id=\"15-c13\" class=\"h-text h-text-component style-348 style-local-15-c13 position-relative h-element\">\r\n              <!---->\r\n              <!---->\r\n              <div class=\"\">\r\n                <p><span style=\"font-weight: 300; font-size: 16px; font-family: &quot;Open Sans&quot;; color: rgb(6, 22, 37);\">Analyse your biological genomics, transcriptomics, and proteomics data with bioinformatics software tools and pipelines.&nbsp;<\/span><\/p>\r\n              <\/div>\r\n            <\/div>\r\n          <\/div>\r\n        <\/div>\r\n      <\/div>\r\n      <div class=\"h-column h-column-container d-flex h-col-lg-4 h-col-md-4 h-col-12 style-345-outer style-local-15-c14-outer\">\r\n        <div data-colibri-id=\"15-c14\" class=\"d-flex h-flex-basis h-column__inner h-px-lg-3 h-px-md-3 h-px-2 v-inner-lg-3 v-inner-md-3 v-inner-2 style-345 style-local-15-c14 position-relative\">\r\n          <!---->\r\n          <!---->\r\n          <div class=\"w-100 h-y-container h-column__content h-column__v-align flex-basis-100 align-self-lg-start align-self-md-start align-self-start\">\r\n            <!---->\r\n            <div data-colibri-id=\"15-c15\" class=\"h-icon style-346 style-local-15-c15 position-relative h-element\">\r\n              <!----><span class=\"h-svg-icon h-icon__icon style-346-icon style-local-15-c15-icon\"><!--Icon by Icons8 Line Awesome (https:\/\/icons8.com\/line-awesome)--><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"area-chart\" viewBox=\"0 0 512 545.5\"><path d=\"M448 97v383H64V204.5l19 4 73 14.5 91-60.5 5.5-3.5 6 1 89.5 15 74-58zm-32 65.5l-54 42-5.5 4.5-7-1-90-15-90.5 60.5-5.5 3.5-6.5-1.5-61-12V309l62 25 89-59.5 6.5-4 7.5 2.5 87.5 29 67.5-53.5v-86zm0 127l-54 43-7 5.5-8-3-88-29.5-90 60-7 4.5-8-3-58-23v104h320V289.5z\"><\/path><\/svg><\/span><\/div>\r\n            <div\r\n              data-colibri-id=\"15-c16\" class=\"h-global-transition-all h-heading style-347 style-local-15-c16 position-relative h-element\">\r\n              <!---->\r\n              <div class=\"h-heading__outer style-347 style-local-15-c16\">\r\n                <!---->\r\n                <!---->\r\n                <h5 class=\"\">Therapeutic area&nbsp;<\/h5>\r\n              <\/div>\r\n          <\/div>\r\n          <div data-colibri-id=\"15-c17\" class=\"h-text h-text-component style-353 style-local-15-c17 position-relative h-element\">\r\n            <!---->\r\n            <!---->\r\n            <div class=\"\">\r\n              <p><span style=\"font-weight: 300; font-size: 16px; font-family: &quot;Open Sans&quot;; color: rgb(6, 22, 37);\">offers different data analysis approaches for discovery, and validation of genomic and proteomic biomarkers for a variety of disease areas.<\/span><\/p>\r\n            <\/div>\r\n          <\/div>\r\n        <\/div>\r\n      <\/div>\r\n    <\/div>\r\n  <\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>DEEP MODELING LANGUAGE&nbsp; Existing models and pretraining methods are designed and optimized for protein analysis. We combine deep language modeling and our pretraining scheme&nbsp;covering diverse protein properties (including protein structure, post-translational modifications and biophysical attributes).&nbsp; DATA ANALYSIS Analyse your biological genomics, transcriptomics, and proteomics data with bioinformatics software tools and pipelines.&nbsp; Therapeutic area&nbsp; offers different [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":12,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":759,"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/pages\/15\/revisions\/759"}],"wp:attachment":[{"href":"https:\/\/insilico-analysis.com\/index.php\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}