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Browse files- sports.html +55 -8
sports.html
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<a href="cpg.html">DRC CPG</a>
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<a href="genomics.html">DRC OMICS</a>
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<a href="pharmaco.html">DRC Pharmacometrics</a>
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<a href="
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<a href="about.html">About</a>
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</div>
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<div class="main">
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<div class="content">
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<h2>Computational Biology</h2>
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</div>
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</div>
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<div class="nav_tech">
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<a href="https://medium.com/paper-club/understanding-pyros-model-and-guide-a-love-story-7f3aa0603886" target="_blank">Pyro Model and Guide</a>
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<a href="https://mc-stan.org/" target="_blank">Stan</a>
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<a href="https://openai.com/blog/chatgpt" target="_blank">ChatGPT</a>
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<a href="https://arxiv.org/" target="_blank">ArXiv</a>
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</html>
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<a href="cpg.html">DRC CPG</a>
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<a href="genomics.html">DRC OMICS</a>
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<a href="pharmaco.html">DRC Pharmacometrics</a>
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<a href="#">DRC Sports</a>
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<a href="about.html">About</a>
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</div>
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<div class="main">
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<div class="content">
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<h2>Computational Biology</h2>
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<p><img src="https://th.bing.com/th/id/OIG.tUfnEp4OWoDONNSs4Z7w?w=270&h=270&c=6&r=0&o=5&pid=ImgGn" height="220px" width="220px">
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Computational biology is an interdisciplinary field that applies mathematical and computational methods to analyze biological data. Computational biology
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aims to understand the structure, function, evolution and interaction of biological systems at different levels of organization, from molecules to ecosystems.
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Computational biology can also help to design and test new hypotheses, experiments and therapies in biotechnology and medicine.
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Some of the main topics of computational biology include bioinformatics, genomics, proteomics, metabolomics, systems biology, phylogenetics,
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structural biology and synthetic biology.</p>
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<p>Bioinformatics is the application of computational methods to analyze biological data. It involves the use of algorithms, databases,
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software tools and statistical techniques to process, store and interpret information from various sources such as DNA sequences, protein
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structures, gene expression and metabolic pathways.
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Bioinformatics can help answer questions such as how genes function, how diseases develop and how organisms evolve.</p>
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<p>Genomics is the study of the structure, function, and evolution of genomes, which are the complete sets of genetic information in an organism.
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Genomics can help us understand the molecular basis of life, disease, and diversity. Genomics can also enable the development of new technologies
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and applications in fields such as medicine, agriculture, biotechnology, and environmental science.</p>
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<p>Proteomics is a field of science that studies the structure, function, and interactions of proteins in living organisms. Proteins are essential
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for many biological processes, such as metabolism, signaling, immunity, and gene expression. Proteomics uses various techniques, such as mass spectrometry,
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protein purification, and bioinformatics, to identify and quantify proteins and their modifications. Proteomics can provide insights into the molecular
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mechanisms of diseases, drug targets, biomarkers, and cellular pathways.
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</p>
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<p>Metabolomics is the study of the chemical processes that occur in living organisms, such as the production and degradation of metabolites. Metabolomics can
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provide insights into the metabolic state, function, and regulation of cells, tissues, and organs.
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Metabolomics can also be used to identify biomarkers, discover new pathways, and understand disease mechanisms.</p>
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<p>Phylogenetics is the study of the evolutionary history and relationships among different groups of organisms. It uses various methods, such
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as molecular sequences, morphological traits, and fossils, to infer the patterns of descent and divergence among taxa. Phylogenetic trees are
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graphical representations of these relationships, showing the branching order and relative time of speciation events. Phylogenetics has many
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applications in biology, such as understanding the origin and diversity of life,
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reconstructing the ancestral features of organisms, and testing hypotheses about adaptation and coevolution.</p>
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<h2>Transcriptomics</h2>
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<p>Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts produced by the genome of an organism or a cell.
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Transcriptomics can reveal the expression levels of genes and their regulation under different conditions, such as development, stress, disease, or treatment.
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Transcriptomics can also identify novel transcripts, such as non-coding RNAs, alternative splicing variants, and fusion genes.
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Transcriptomics relies on high-throughput sequencing technologies, such as RNA-seq, to capture and analyze the transcriptome data.</p>
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<h2>Spatial Transcriptomics</h2>
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<p>Park HE, Jo SH, Lee RH, Macks CP, Ku T, Park J, Lee CW, Hur JK, Sohn CH. Spatial Transcriptomics: Technical Aspects of Recent Developments and
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Their Applications in Neuroscience and Cancer Research. Adv Sci (Weinh). 2023 Apr 7:e2206939. doi: 10.1002/advs.202206939. Epub ahead of print.
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PMID: 37026425.</p>
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<p><img src="https://onlinelibrary.wiley.com/cms/asset/e7d09386-ea3e-4465-a6ea-a3a255a41caa/advs5479-fig-0001-m.jpg" width="900 px" height="800px"></p>
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<p>Spatial transcriptomics is a newly emerging field that enables high-throughput investigation of the spatial localization of transcripts and related
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analyses in various applications for biological systems. By transitioning from conventional biological studies to “in situ” biology, spatial
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transcriptomics can provide transcriptome-scale spatial information. Currently, the ability to simultaneously characterize gene expression profiles
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of cells and relevant cellular environment is a paradigm shift for biological studies. In this review, recent progress in spatial transcriptomics and
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its applications in neuroscience and cancer studies are highlighted. Technical aspects of existing technologies and future directions of new
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developments (as of March 2023), computational analysis of spatial transcriptome data, application notes in neuroscience and cancer studies, and
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discussions regarding future directions of spatial multi-omics and their expanding roles in biomedical applications are emphasized.</p>
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</div>
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</div>
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<div class="nav_tech">
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<a href="https://medium.com/paper-club/understanding-pyros-model-and-guide-a-love-story-7f3aa0603886" target="_blank">Pyro Model and Guide</a>
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<a href="https://mc-stan.org/" target="_blank">Stan</a>
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<a href="https://openai.com/blog/chatgpt" target="_blank">ChatGPT</a>
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<a href="https://arxiv.org/" target="_blank">ArXiv</a>
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</div>
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<div class="footer">
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<br>
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Copyright © Dulun Research & Consulting<br>
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Last updated on April 11th 2023<br>
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<a href="mailto:compute@dulun.com" target="_blank">Contact us</a><br>
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