Deploying to gh-pages from @ data-intuitive/di_web@5c5b9aa 🚀

Author: aBoschmans

approach/approach.html

@@ -301,6 +301,29 @@ <h1 class="v-hero-title">
 
 
 
+<div class="row justify-content-center text-center pt-5 mt-xl-1 mb-5">
+  <div class="col-lg-7">
+              <div class="single-block p-3 p-xl-4 rounded-4 h-100 border border-light-subtle border-opacity-10 bg-white-di">
+                  <h2 class="p-color text-center">Common Pitfalls and Challenges with Data Workflows</h2>
+                  <p class="text-center">In biotech, creating robust omics data workflows demands careful navigation of various challenges to ensure reliability and robustness. Below are ten common pitfalls that can undermine success:</p>
+                  <ul class="check-list-style text-start" style="line-height: 1.6; margin-top: 16px;">
+                      <li><b>Data quality:</b> Unreliable data invalidates results, fosters errors.</li>
+                      <li><b>Reproducibility:</b> Irreproducible workflows erode credibility and compliance.</li>
+                      <li><b>Scalability:</b> Poor scaling ability stalls projects under enterprise-level datasets.</li>
+                      <li><b>Maintainability:</b> Unmaintainable, badly designed workflows cause chaos.</li>
+                      <li><b>Dependencies:</b> Multiple dependencies can lead to unpredictable behavior.</li>
+                      <li><b>Vendor lock-in:</b> Vendor reliance limits flexibility and adaptability when shifting platforms.</li>
+                      <li><b>Efficiency &amp; collaboration:</b> Poor efficiency wastes research time and IT expert time.</li>
+                      <li><b>Multi-platform processing:</b> Platform inconsistency creates operational inefficiencies.</li>
+                      <li><b>Security &amp; compliance:</b> Weak security jeopardizes compliance and confidence.</li>
+                      <li><b>Version control:</b> Lacking version control fosters mismatched code and confusion.</li>
+                  </ul>
+                  <p class="text-center" style="margin-top: 20px;">
+                      For more information on these pitfalls, <a target="_blank" href="../insights/blog/2025-02-01-10-common-pitfalls-in-omics-data-processing/" class="p-color">click here to open our blog post <br><b>“10 Common Pitfalls in Omics Data Processing—And How to Avoid Them”</b></a>
+                  </p>
+              </div>
+    </div>
+</div>
 
 
 
@@ -1158,19 +1181,7 @@ <h2 class="p-color">Code Generation</h2>
   </section></div>
 
 
-<div class="v-download-whitepaper text-center bg-secondary-60 py-5">
-  <div class="row justify-content-center text-center pt-5 mt-xl-1 mb-5">
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-      <script>
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-  </div>
-</div>
+
 
 
 

company/careers.html

@@ -379,7 +379,7 @@ <h2 class="mb-0" id="careers">Open Positions</h2>
         </div>
 <div id="listing-careers" class="quarto-listing quarto-listing-container-grid">
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-<div class="g-col-1" data-index="0" data-listing-file-modified-sort="1738654222199" data-listing-reading-time-sort="1" data-listing-word-count-sort="88">
+<div class="g-col-1" data-index="0" data-listing-file-modified-sort="1738664819698" data-listing-reading-time-sort="1" data-listing-word-count-sort="88">
 <a href="../company/careers/nopopenpositionsc/index.html" class="quarto-grid-link">
 <div class="quarto-grid-item card h-100 card-left">
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company/careers_old.html

@@ -379,7 +379,7 @@ <h2 class="mb-0" id="careers">Open Positions</h2>
         </div>
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-<div class="g-col-1" data-index="0" data-listing-file-modified-sort="1738654222199" data-listing-reading-time-sort="1" data-listing-word-count-sort="88">
+<div class="g-col-1" data-index="0" data-listing-file-modified-sort="1738664819698" data-listing-reading-time-sort="1" data-listing-word-count-sort="88">
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css/style.css

@@ -1255,7 +1255,7 @@ footer img {
 
 #follow-us {
   /* position:fixed; */
-  bottom: 6%;
+  bottom: 8%;
   right: 9px;
   z-index: 20;
   flex-direction: column;
@@ -1601,7 +1601,7 @@ textarea.form-control {
 
   #follow-us {
     /* position:fixed; */
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+    bottom: 8%;
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     gap: 13px;

insights/blog.html

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+<div class="g-col-1" data-index="0" data-listing-date-sort="1738627200000" data-listing-file-modified-sort="1738664820002" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="4" data-listing-word-count-sort="737">
+<a href="../insights/blog/2025-02-01-10-common-pitfalls-in-omics-data-processing/index.html" class="quarto-grid-link">
+<div class="quarto-grid-item card h-100 card-left borderless">
+<p class="card-img-top">
+<img loading="lazy" src="../insights/blog/2025-02-01-10-common-pitfalls-in-omics-data-processing/schema_pitfalls.svg" class="thumbnail-image card-img" style="height: 100%;">
+</p>
+<div class="card-body post-contents">
+<h5 class="no-anchor card-title listing-title">
+10 Common Pitfalls in Omics Data Processing
+</h5>
+<div class="card-text listing-description">
+In today’s data-driven world, efficiently processing and analyzing large volumes of biological data is crucial for organizations to maintain a competitive edge and foster…
+</div>
+<div class="card-attribution card-text-small justify">
+<div class="listing-author">
+Dorien Roosen
+</div>
+<div class="listing-date">
+Feb 4, 2025
+</div>
+</div>
+</div>
+</div>
+</a>
+</div>
+<div class="g-col-1" data-index="1" data-listing-date-sort="1733443200000" data-listing-file-modified-sort="1738664819989" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="2" data-listing-word-count-sort="207">
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