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  2. List of databases for oncogenomic research - Wikipedia

    en.wikipedia.org/wiki/List_of_databases_for_onco...

    Databases for oncogenomic research are biological databases dedicated to cancer data and oncogenomic research. They can be a primary source of cancer data, offer a certain level of analysis (processed data) or even offer online data mining.

  3. List of phylogenetics software - Wikipedia

    en.wikipedia.org/wiki/List_of_phylogenetics_software

    Explore, manipulate, analyze, and simulate phylogenetic objects (alignments, trees, and MCMC logs) J.W. Brown, J.F. Walker, and S.A. Smith POY A phylogenetic analysis program that supports multiple kinds of data and can perform alignment and phylogeny inference. A variety of heuristic algorithms have been developed for this purpose

  4. Machine learning in bioinformatics - Wikipedia

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

    A phylogenetic convolutional neural network (Ph-CNN) is a convolutional neural network architecture proposed by Fioranti et al. in 2018 to classify metagenomics data. [19] In this approach, phylogenetic data is endowed with patristic distance (the sum of the lengths of all branches connecting two operational taxonomic units [OTU]) to select k ...

  5. Computational phylogenetics - Wikipedia

    en.wikipedia.org/wiki/Computational_phylogenetics

    Phylogenetic trees generated by computational phylogenetics can be either rooted or unrooted depending on the input data and the algorithm used. A rooted tree is a directed graph that explicitly identifies a most recent common ancestor (MRCA), [citation needed] usually an inputed sequence that is not represented in the input.

  6. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    These detection methods generate terabytes of data per experiment. The data is often found to contain considerable variability, or noise, and thus Hidden Markov model and change-point analysis methods are being developed to infer real copy number changes. [citation needed] Two important principles can be used to identify cancer by mutations in ...

  7. Bayesian inference in phylogeny - Wikipedia

    en.wikipedia.org/.../Bayesian_inference_in_phylogeny

    Tiger phylogenetic relationships, bootstrap values shown in branches. Example of long branch attraction. Longer branches (A & C) appear to be more closely related. There are many approaches to reconstructing phylogenetic trees, each with advantages and disadvantages, and there is no straightforward answer to “what is the best method?”.

  8. Molecular phylogenetics - Wikipedia

    en.wikipedia.org/wiki/Molecular_phylogenetics

    Molecular phylogenetics is one aspect of molecular systematics, a broader term that also includes the use of molecular data in taxonomy and biogeography. [3] [4] [5] Molecular phylogenetics and molecular evolution correlate. Molecular evolution is the process of selective changes (mutations) at a molecular level (genes, proteins, etc ...

  9. Phylogenetic inference using transcriptomic data - Wikipedia

    en.wikipedia.org/wiki/Phylogenetic_inference...

    In eukaryotes, making phylogenetic inferences using RNA is complicated by alternative splicing, which produces multiple transcripts from a single gene. As such, a variety of approaches may be used to improve phylogenetic inference using transcriptomic data obtained from RNA-Seq and processed using computational phylogenetics.