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  2. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    Despite their importance, machine learning tools related to metagenomics have focused on the study of gut microbiota and the relationship with digestive diseases, such as inflammatory bowel disease (IBD), Clostridioides difficile infection (CDI), colorectal cancer and diabetes, seeking better diagnosis and treatments. [46]

  3. Gene Disease Database - Wikipedia

    en.wikipedia.org/wiki/Gene_Disease_Database

    In bioinformatics, a Gene Disease Database is a systematized collection of data, typically structured to model aspects of reality, in a way to comprehend the underlying mechanisms of complex diseases, by understanding multiple composite interactions between phenotype-genotype relationships and gene-disease mechanisms. [1]

  4. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    Bioinformatics is the name given to these mathematical and computing approaches used to glean understanding of biological processes. Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.

  5. List of biological databases - Wikipedia

    en.wikipedia.org/wiki/List_of_biological_databases

    The journal Nucleic Acids Research regularly publishes special issues on biological databases and has a list of such databases. The 2018 issue has a list of about 180 such databases and updates to previously described databases. [2] Omics Discovery Index can be used to browse and search several biological databases.

  6. Computational immunology - Wikipedia

    en.wikipedia.org/wiki/Computational_immunology

    In academia, computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology.The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.

  7. Translational bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Translational_bioinformatics

    Analytic techniques serve to translate biological data using high-throughput techniques into clinically relevant information. Currently, numerous software and methodologies for querying data exist, and this number continues to grow as more studies are conducted and published in bioinformatics journals such as Genome Biology , BMC Bioinformatics ...

  8. HuffPost Data

    projects.huffingtonpost.com

    A look at how different mapping techniques reveal different voting patterns 11/5 2013 Election Results Live returns with real-time historical and demographic scatterplots

  9. Computational epigenetics - Wikipedia

    en.wikipedia.org/wiki/Computational_epigenetics

    DNA methylation is an epigenetic mechanism that can be studied with bioinformatics. Computational epigenetics [ 1 ] uses statistical methods and mathematical modelling in epigenetic research. Due to the recent explosion of epigenome datasets, computational methods play an increasing role in all areas of epigenetic research.

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