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  2. Open reading frame - Wikipedia

    en.wikipedia.org/wiki/Open_reading_frame

    The ORF Finder (Open Reading Frame Finder) [16] is a graphical analysis tool which finds all open reading frames of a selectable minimum size in a user's sequence or in a sequence already in the database. This tool identifies all open reading frames using the standard or alternative genetic codes.

  3. List of gene prediction software - Wikipedia

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

    Neural network promoter prediction: Prokaryotes, Eukaryotes [38] NNSPLICE: Neural network splice site prediction: Drosophila, Human [39] ORFfinder: Graphical analysis tool to find all open reading frames: Prokaryotes, Eukaryotes [40] Regulatory Sequence Analysis Tools: Series of modular computer programs to detect regulatory signals in non ...

  4. Gene prediction - Wikipedia

    en.wikipedia.org/wiki/Gene_prediction

    Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.

  5. Upstream open reading frame - Wikipedia

    en.wikipedia.org/wiki/Upstream_open_reading_frame

    An upstream open reading frame (uORF) is an open reading frame (ORF) within the 5' untranslated region (5'UTR) of an mRNA. uORFs can regulate eukaryotic gene expression. [1] [2] Translation of the uORF typically inhibits downstream expression of the primary ORF. However, in some genes such as yeast GCN4, translation of specific uORFs may ...

  6. GLIMMER - Wikipedia

    en.wikipedia.org/wiki/GLIMMER

    Second Version of GLIMMER i.e., GLIMMER 2.0 was released in 1999 and it was published in the paper Improved microbial identification with GLIMMER. [4] This paper [4] provides significant technical improvements such as using interpolated context model instead of interpolated Markov model and resolving overlapping genes which improves the accuracy of GLIMMER.

  7. List of protein subcellular localization prediction tools

    en.wikipedia.org/wiki/List_of_protein_sub...

    The University of Minnesota Pathway Prediction System (UM-PPS) is a web tool that recognizes functional groups in organic compounds that are potential targets of microbial catabolic reactions and predicts transformations of these groups based on biotransformation rules. Multi-level predictions are made. (bio.tools entry) [116]

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