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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. 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 ...

  4. Phylogenetics - Wikipedia

    en.wikipedia.org/wiki/Phylogenetics

    In biology, phylogenetics (/ ˌ f aɪ l oʊ dʒ ə ˈ n ɛ t ɪ k s,-l ə-/) [1] [2] [3] is the study of the evolutionary history of life using genetics, which is known as phylogenetic inference. It establishes the relationship between organisms with the empirical data and observed heritable traits of DNA sequences, protein amino acid sequences ...

  5. 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

  6. 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.

  7. Phylogenomics - Wikipedia

    en.wikipedia.org/wiki/Phylogenomics

    Using this method, it is theoretically possible to create fully resolved phylogenetic trees, and timing constraints can be recovered more accurately. [15] [16] However, in practice this is not always the case. Due to insufficient data, multiple trees can sometimes be supported by the same data when analyzed using different methods. [17]

  8. 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.

  9. 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 ...