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Showing 1 to 10 of 10 for “"gene finding"”.

  1. Computational approaches to gene finding

    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.

    mit Repository record for Computational approaches to gene finding (opens in a new tab)

  2. Gene finding and the evaluation of synonymous codon usage features in microbial genomes

    Diese Arbeit befasst sich mit der Vorhersage von Genen, von Genexpressionsraten und der Detektion und Charakterisierung von horizontal transferierten Genregionen in mikrobiellen Genomen. Diese Themen sind sowohl für die Annotation als auch für weiterführende, experimentelle Analysen eines …

    bielefeld Repository record for Gene finding and the evaluation of synonymous codon usage features in microbial genomes (opens in a new tab)

  3. Development of gene-finding algorithms for fungal genomes : dealing with small datasets and leveraging comparative genomics

    … protein coding regions in fungal genomes. Gene structural and compositional properties are modeled using a Hidden Markov Model. Separate training and testing sets for FUNSCAN were obtained by aligning cDNAs from an organism to their genomic loci, generating a 'gold standard' set of …

    mit Repository record for Development of gene-finding algorithms for fungal genomes : dealing with small datasets and leveraging comparative genomics (opens in a new tab)

  4. Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification

    Using a generalized-clique hidden Markov model (HMM) as the starting point for a eukaryotic gene finder, the objective here is to strengthen the signal information at the transitions between coding and non-coding (c/nc) regions. This is done by enlarging the primitive hidden states associated with …

    uno Repository record for Meta State Generalized Hidden Markov Model for Eukaryotic Gene Structure Identification (opens in a new tab)

  5. From single genomes to natural microbial communities : novel methods for the high-throughput analysis of genomic sequences

    … identifying and functionally characterizing the gene content of organisms, thus reducing the required manual effort while at the same time producing high-quality annotations. On the other hand, metagenomes are nowadays routinely sequenced, and an increasing number of metagenomic projects is …

    bielefeld Repository record for From single genomes to natural microbial communities : novel methods for the high-throughput analysis of genomic sequences (opens in a new tab)

  6. Towards a Genome Reverse Compiler

    The Genome Reverse Compiler (GRC) is an annotation tool for prokaryotic genomes. Its name and philosophy are based on analogy with a high-level programming language compiler. In this analogy, the genome is a program in a certain low-level language that humans cannot understand. Given the sequence …

    vt Repository record for Towards a Genome Reverse Compiler (opens in a new tab)

  7. Gene identification using phylogenetic metrics with conditional random fields

    … a comprehensive and accurate annotation of all genes encoded in the genome, providing the basis for understanding human variation, gene regulation, health and disease. Traditionally, the problem of computational gene prediction has been addressed using graphical probabilistic models of genomic …

    mit Repository record for Gene identification using phylogenetic metrics with conditional random fields (opens in a new tab)

  8. A multidisciplinary investigation of underlying pathways in ADHD: A study of ADHD genes, endophenotypes and phenotypes

    … data, with quantitative and molecular genetic analyses, to investigate pathways from genes to ADHD behaviours.<br/><br/>In chapter 2 we investigated socio-demographic factors as contributors of contrast effects (exaggeration of behavioural differences) in parental ADHD ratings. Gender …

    kings Repository record for A multidisciplinary investigation of underlying pathways in ADHD: A study of ADHD genes, endophenotypes and phenotypes (opens in a new tab)

  9. One-class classification in the presence of point, collective, and contextual anomalies

    … of a given data set such that data points generated by a different process can be detected accurately. Prominent machine learning models for one-class classification are one-class support vector machines and the closely related support vector data descriptions. The contribution of this …

    tu-berlin Repository record for One-class classification in the presence of point, collective, and contextual anomalies (opens in a new tab)

  10. Comparison of orthologs across multiple species by various strategies

    … we can give an estimate of the conserved set of genes across mammals and correspondingly, find the species-specific sets of genes or functions. However, comparative genomics can be feasible only if a meaningful classification of genes exists. A natural way to do so is to delineate sets of …

    uiuc Repository record for Comparison of orthologs across multiple species by various strategies (opens in a new tab)