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eonurk committed Jul 3, 2024
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<hr>
<h5>Introducing ceLLama</h5>
<hr>
<img src="public/cellama.png" alt="A llama working on cell type identification." style="max-width: 350px;">
<img src="public/cellama.png" alt="A llama working on cell type identification." style="max-width: 300px; border-radius: 50%">
<hr>
<p> <i>ceLLama</i> is an open-source streamlined automation pipeline for cell type annotations using local Large Language Models (LLMs). This cutting-edge tool is crafted to streamline and enhance the process of cell type identification, making it faster, more comprehensive, and more reliable.</p>
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Expand All @@ -34,6 +34,37 @@ <h5>Introducing ceLLama</h5>
<button class="white-button">Try ceLLama Now</button>
</a>
<hr>
<hr>

<div class="feature-item">
<h5><p><i class="fas fa-shield-alt" style="color: #aaa;"></i> Privacy</p></h5>
<p>ceLLama operates entirely on your local machine, ensuring that your sensitive data remains secure and free from potential leaks. This feature is particularly crucial in fields where data privacy is of utmost importance, such as biomedical research and healthcare.</p>
</div> <hr>

<div class="feature-item">
<h5><p><i class="fas fa-file-alt" style="color: #aaa;"></i> Extensive Reporting</p></h5>
<p>ceLLama generates detailed and customized reports that provide insights into the annotation process and results. These reports are tailored to meet the specific needs of the user, ensuring that the information presented is both relevant and useful.</p>
</div>
<iframe style="border-radius: 10px; min-height: 350px; min-width: 350px; padding: 5px" src="public/report.html" title="Report Example"></iframe>
<small style="margin-top: 5px;">An example cell type annotation report on human PBMCs</small>
<hr>


<div class="feature-item">
<h5><p><i class="fas fa-lightbulb" style="color: #aaa;"></i> Ease of Use</p></h5>
<p>ceLLama is integrated with well-established single cell pipelines (Suerat & Scanpy), therefore no overhead for the users. Also, as it is open-source advanced users can customize the pipeline according their needs.</p>
</div> <hr>

<div class="feature-item">
<h5><p><i class="fas fa-dna" style="color: #aaa;"></i> Comprehensive Analysis</p></h5>
<p>Unlike traditional methods, ceLLama takes into account not only the positive markers but also the negative genes, providing a more holistic and accurate cell type annotation. This comprehensive approach ensures that the annotations are precise and reflective of the actual cell types present.</p>
</div><hr>

<div class="feature-item">
<h5><p><i class="fas fa-tachometer-alt" style="color: #aaa;"></i> Speed</p></h5>
<p>The pipeline is optimized for efficient processing, allowing researchers to obtain results quickly without compromising on accuracy. This speed is particularly beneficial in high-throughput settings where time is a critical factor.</p>
</div>

<hr>
<div class="price-container">
<h5 class="text-center my-4">Pricing Comparison</h5>
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<tr>
<th scope="row">Price</th>
<td>$0 / mo</td>
<td>Contact Us</td>
<td><a href="contact.html">Contact Us</a></td>
</tr>

<tr>
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<tr>
<th scope="row">Commercial Use</th>
<td>x</td>
<td>-</td>
<td>Full Access</td>
</tr>

<tr>
<th scope="row">Customer Support</th>
<td>x</td>
<td>-</td>
<td>24/7</td>
</tr>
</tbody>
Expand All @@ -79,38 +110,6 @@ <h5 class="text-center my-4">Pricing Comparison</h5>
</div>
</div>

<hr>
<hr>
<hr>
<div class="feature-item">
<h5><i class="fas fa-shield-alt" style="color: #aaa;"></i> Privacy</h5>
<p>ceLLama operates entirely on your local machine, ensuring that your sensitive data remains secure and free from potential leaks. This feature is particularly crucial in fields where data privacy is of utmost importance, such as biomedical research and healthcare.</p>
</div> <hr>

<div class="feature-item">
<h5><i class="fas fa-file-alt" style="color: #aaa;"></i> Extensive Reporting</h5>
<p>ceLLama generates detailed and customized reports that provide insights into the annotation process and results. These reports are tailored to meet the specific needs of the user, ensuring that the information presented is both relevant and useful.</p>
</div>

<iframe style="border-radius: 5px; min-height: 350px; min-width: 350px" src="public/report.html" title="Report Example"></iframe>
<small>An example cell type annotation report on human PBMCs</small>
<hr>


<div class="feature-item">
<h5><i class="fas fa-lightbulb" style="color: #aaa;"></i> Ease of Use</h5>
<p>ceLLama is integrated with well-established single cell pipelines (Suerat & Scanpy), therefore no overhead for the users. Also, as it is open-source advanced users can customize the pipeline according their needs.</p>
</div> <hr>

<div class="feature-item">
<h5><i class="fas fa-dna" style="color: #aaa;"></i> Comprehensive Analysis</h5>
<p>Unlike traditional methods, ceLLama takes into account not only the positive markers but also the negative genes, providing a more holistic and accurate cell type annotation. This comprehensive approach ensures that the annotations are precise and reflective of the actual cell types present.</p>
</div><hr>

<div class="feature-item">
<h5><i class="fas fa-tachometer-alt" style="color: #aaa;"></i> Speed</h5>
<p>The pipeline is optimized for efficient processing, allowing researchers to obtain results quickly without compromising on accuracy. This speed is particularly beneficial in high-throughput settings where time is a critical factor.</p>
</div>
<hr>
<div class="disclaimer mt-5" style="font-size: 0.7rem; color: #555; max-width:350px; text-align: center;display: inline-block; margin-top: 0px !important">
<p>Important: While ceLLama is designed to provide accurate annotations, Large Language Models are not infallible. We recommend double-checking critical information to ensure its accuracy.</p>
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