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  2. GeneMark - Wikipedia

    en.wikipedia.org/wiki/GeneMark

    GeneMark is a generic name for a family of ab initio gene prediction algorithms and software programs developed at the Georgia Institute of Technology in Atlanta.Developed in 1993, original GeneMark was used in 1995 as a primary gene prediction tool for annotation of the first completely sequenced bacterial genome of Haemophilus influenzae, and in 1996 for the first archaeal genome of ...

  3. List of gene prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_gene_prediction...

    Its name stands for Prokaryotic Dynamic Programming Genefinding Algorithm. It is based on log-likelihood functions and does not use Hidden or Interpolated Markov Models. Prokaryotes, Metagenomes (metaProdigal) [4] AUGUSTUS: Eukaryote gene predictor: Eukaryotes [5] BGF Hidden Markov model (HMM) and dynamic programming based ab initio gene ...

  4. Gene prediction - Wikipedia

    en.wikipedia.org/wiki/Gene_prediction

    The GeneMark-ES and SNAP gene finders are GHMM-based like GENSCAN. They attempt to address problems related to using a gene finder on a genome sequence that it was not trained against. [7] [8] A few recent approaches like mSplicer, [9] CONTRAST, [10] or mGene [11] also use machine learning techniques like support vector machines for successful ...

  5. MAFFT - Wikipedia

    en.wikipedia.org/wiki/MAFFT

    O(N^2L) [10] is the time complexity for the guide tree construction, where N is the number of sequences. Progressive Alignment – Using the guide tree progressive alignment [9] is performed from the leaves to the root. The algorithm uses the inputted sequences and aligns the child nodes to calculate a consensus alignment for the parent node.

  6. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    The primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches is its focus on developing and applying computationally intensive techniques to achieve this goal. Examples include: pattern recognition, data mining, machine learning algorithms, and visualization.

  7. Genetic algorithm - Wikipedia

    en.wikipedia.org/wiki/Genetic_algorithm

    In 1950, Alan Turing proposed a "learning machine" which would parallel the principles of evolution. [40] Computer simulation of evolution started as early as in 1954 with the work of Nils Aall Barricelli, who was using the computer at the Institute for Advanced Study in Princeton, New Jersey. [41] [42] His 1954 publication was not widely noticed.

  8. General feature format - Wikipedia

    en.wikipedia.org/wiki/General_feature_format

    The modENCODE project hosts an online GFF3 validation tool with generous limits of 286.10 MB and 15 million lines. The Genome Tools software collection contains a gff3validator tool that can be used offline to validate and possibly tidy GFF3 files. An online validation service is also available.

  9. MUSCLE (alignment software) - Wikipedia

    en.wikipedia.org/wiki/MUSCLE_(alignment_software)

    In this first stage, the algorithm produces a multiple alignment, emphasizing speed over accuracy. This step begins by computing the k-mer distance for every pair of input sequences to create a distance matrix. UPGMA clusters the distance matrix to produce a binary tree. From this tree a progressive alignment is constructed, beginning with the ...

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