Data

Segmentation characteristics of models selected by procedure 2: an assessment of the complexity of 3' UTRs relative to that of protein-coding sequences

Queensland University of Technology
Mengersen, Kerrie
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/5853542b39603&rft.title=Segmentation characteristics of models selected by procedure 2: an assessment of the complexity of 3' UTRs relative to that of protein-coding sequences&rft.identifier=10.4225/09/5853542b39603&rft.publisher=Queensland University of Technology&rft.description=The dataset comes from a study which assessed the complexity of 3′ UTRs (Three prime untranslated regions)relative to that of protein-coding sequences, by comparing the extent to which segmental substructures can be detected within these two genomic fractions based on sequence composition and conservation. The dataset presents the segmentation characteristics of models following an investigation of the stability of segment classes. &rft.creator=Mengersen, Kerrie &rft.date=2016&rft.edition=1&rft.coverage=159.255525,-9.219822 112.921454,-9.219822 112.921454,-54.777218 159.255525,-54.777218 159.255525,-9.219822&rft_rights=© 2014 Algama et al.&rft_rights=Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0/au/&rft_subject=Molecular biology&rft_subject=Bayes theorem&rft_subject=Comparative genomics&rft_subject=Functional genomics &rft_subject=Markov models&rft_subject=Genome complexity&rft_subject=Probability theory&rft_subject=Biostatistics&rft_subject=Sequence analysis&rft_subject=Genomics&rft_subject=Genome evolution&rft_subject=Computational biology&rft_subject=Molecular biology techniques&rft_subject=Genetics&rft_subject=Sequencing techniques&rft_subject=Genome analysis&rft.type=dataset&rft.language=English Access the data
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CC-BY

Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

© 2014 Algama et al.

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Contact Information

Postal Address:
Kerrie Mengersen

k.mengersen@qut.edu.au

Full description

The dataset comes from a study which assessed the complexity of 3′ UTRs (Three prime untranslated regions)relative to that of protein-coding sequences, by comparing the extent to which segmental substructures can be detected within these two genomic fractions based on sequence composition and conservation.

The dataset presents the segmentation characteristics of models following an investigation of the stability of segment classes.

Data time period: 2013 to 31 12 2013

This dataset is part of a larger collection

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159.25553,-9.21982 112.92145,-9.21982 112.92145,-54.77722 159.25553,-54.77722 159.25553,-9.21982

136.0884895,-31.99852

Subjects
Bayes theorem | Biostatistics | Comparative genomics | Computational biology | Functional genomics | Genetics | Genome analysis | Genome complexity | Genome evolution | Genomics | Markov models | Molecular biology | Molecular biology techniques | Probability theory | Sequence analysis | Sequencing techniques |

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