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C7orf50 (Chromosome 7, Open Reading Frame 50) is a gene in humans (Homo sapiens) that encodes a protein known as C7orf50 (uncharacterized protein C7orf50). This gene is ubiquitously expressed in the kidneys , brain , fat , prostate , spleen , among 22 other tissues and demonstrates low tissue specificity.
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.
Logo Expasy 2020. Expasy is an online bioinformatics resource operated by the SIB Swiss Institute of Bioinformatics.It is an extensible and integrative portal which provides access to over 160 databases and software tools and supports a range of life science and clinical research areas, from genomics, proteomics and structural biology, to evolution and phylogeny, systems biology and medical ...
An open reading frame (ORF) is a reading frame that has the potential to be transcribed into RNA and translated into protein. It requires a continuous sequence of DNA which may include a start codon, through a subsequent region which has a length that is a multiple of 3 nucleotides, to a stop codon in the same reading frame.
The tools available at ExPASy were used to predict post-translational modification sites on C16orf95. [16] The following modifications are predicted: palmitoylation, phosphorylation, and O-linked glycosylation. Bolded residues in the table indicate sites that are conserved in more than one species.
Chromosome 15 open reading frame 52 is a human protein encoded by the C15orf52 gene, its function is poorly understood. Gene ...
Chromosome 19 open reading frame 44 is a protein that in humans is encoded by the C19orf44 gene. [ 5 ] C19orf44 is an uncharacterized protein with an unknown function in humans. C19orf44 is non-limiting implying that the protein (and gene) exists in other species besides human.
The gene finder is based on a hidden Markov model (HMM) that is automatically estimated for a new genome. Prokaryotes [8] [9] EuGene: Integrative gene finding: Prokaryotes, Eukaryotes [10] [11] FGENESH: HMM-based gene structure prediction: multiple genes, both chains: Eukaryotes [12] FrameD: Find genes and frameshift in G+C rich prokaryote ...
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