2020-11-06T14:57:56 n5558

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

Viewed: 1671

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

Data file types

.xls

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© 2014 Algama et al.

Dates of data collection

From 2013-01-01 to 2013-12-31

Connections

Was collected by
Kerrie Mengersen  (Researcher)

Contacts

Name: Kerrie Mengersen

Other

Date record created:
2014-06-30T12:35:04
Date record modified:
2020-11-06T14:57:56
Record status:
Published - Open Access