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@@ -34,18 +34,17 @@ <h2 class="section-title">Decoding transcriptomes to understand disease</h2>
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<p>
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We are a multidisciplinary team of computational biologists, bioinformaticians, and
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molecular biologists, united by a common goal: to understand how RNA-level changes, including
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alternative splicing, transcription initiation, and other regulatory events, contribute to
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human disease.
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We are a multidisciplinary team applying computational and evolutionary approaches to understand how genome-wide changes in transcriptional and alternative splicing regulation in human tissues contribute to disease.
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</p>
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<p>
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We are committed to open, reproducible science. Every tool we build is freely available,
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documented, and designed for non-computational scientists. We also coordinate
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<ahref="https://biomics.gimm.pt/" target="_blank" rel="noopener">BIOMICS</a>, a
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<ahref="https://cordis.europa.eu/project/id/101159926" target="_blank" rel="noopener">Twinning project funded by the European Union</a>,
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fostering excellence in biomedical data science across Europe.
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We are committed to open, transparent, intelligible, and reproducible science. Every tool we develop is freely available, well documented, and designed to empower non-computational scientists to understand and interrogate their own data.</p>
Twinning project</a> that fosters excellence in biomedical data science and helps train a new generation of skilled, critical-thinking, and ethically aware researchers capable of rigorously testing scientific hypotheses using biomedical data and soundly interpreting their results and implications.
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