Segmentation characteristics of models selected by procedure 2: an assessment of the complexity of 3' UTRs relative to that of protein-coding sequences
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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.
Geographical area of data collection
kmlPolyCoords
159.255525,-9.219822 112.921454,-9.219822 112.921454,-54.777218 159.255525,-54.777218 159.255525,-9.219822
Publications
Algama, Manjula, Oldmeadow, Christopher, Tasker, Edward, Mengersen, Kerrie, & Keith, Jonathan M. (2014) Drosophila 3′ UTRs are more complex than protein-coding sequences. PLoS ONE, 9(5), e97336.
http://dx.doi.org/10.1371/journal.pone.0097336
Research areas
Computational biology
Comparative genomics
Sequence analysis
Genetics
Bayes theorem
Functional genomics
Biostatistics
Genomics
Probability theory
Molecular biology techniques
Genome evolution
Sequencing techniques
Genome analysis
Markov models
Genome complexity
Molecular biology
Cite this collection
Algama, Manjula; Oldmeadow, Christopher; Tasker, Edward; Mengersen, Kerrie; Keith, Jonathan M. (2014): Segmentation characteristics of models selected by Procedure 2. Table_2.xls. PLOS ONE.
Mengersen,Kerrie. (2016): 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]. https://doi.org/10.4225/09/5853542b39603
Related information
Christopher Oldmeadow, Research collaborator
http://goo.gl/xGA82r
Jonathan M. Keith, Research collaborator
http://goo.gl/xGA82r
Edward Tasker, Research collaborator
http://goo.gl/xGA82r
Manjula Algama, Research collaborator
http://goo.gl/xGA82r
Access the data
Data file types
.xls
Licence
Copyright
© 2014 Algama et al.
Dates of data collection
From 2013-01-01 to 2013-12-31
Connections
Was collected by
Contacts
Name: Kerrie Mengersen
Email: k.mengersen@qut.edu.au
Other
Date record created:
2014-06-30T12:35:04
Date record modified:
2020-11-06T14:57:56
Record status:
Published - Open Access