2019-08-01T12:04:51 n12890

An assessment of the complexity of 3' UTRs relative to that of protein-coding sequences: a comparison of the three models selected for each pairwise alignment of 3 UTRs

Viewed: 1966

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 data provides results from a comparison of the three models for each pairwise alignment of 3′ UTRs. The data shows that MP: mixture proportions; T/T: Transition/Transversion ratio. Class 11 of Dme vs Dsi (MP: 0.7%, Conservation: 56%, GC content: 17% and T/T: 0.5) and the class 9 of Dme vs Dya (MP: 7.5%, Conservation: 85%, GC content: 45% and T/T: 1.1) alignments did not match with other models.

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

Genome complexity
Markov models
Genome analysis
Probability theory
Molecular biology
Molecular biology techniques
Genomics
Bayes theorem
MATHEMATICAL SCIENCES
Comparative genomics
Biostatistics
Genome evolution
Sequencing techniques
Computational biology
Sequence analysis
Biological sciences

Cite this collection

Algama, Manjula; Oldmeadow, Christopher; Tasker, Edward; Mengersen, Kerrie; Keith, Jonathan M. (2014): Model comparisons. Table_3.xls. PLOS ONE.
Algama,Manjula; Oldmeadow,Christopher; Tasker,Edward; Mengersen,Kerrie; Keith,Jonathan. (2014): An assessment of the complexity of 3' UTRs relative to that of protein-coding sequences: a comparison of the three models selected for each pairwise alignment of 3 UTRs. [Queensland University of Technology]. https://doi.org/10.4225/09/58573f380cf7d

Related information

This work was supported by the Australian Research Council, the National Health and Medical Research Council and by a Vice Chancellor’s Research Fellowship funded by Queensland University of Technology. http://goo.gl/C7eHbJ
Edward Tasker, Research collaborator http://goo.gl/ftN7eC
Manjula Algama, Research collaborator http://goo.gl/ftN7eC
Jonathan M. Keith, Research collaborator http://goo.gl/ftN7eC
Christopher Oldmeadow, Research collaborator http://goo.gl/ftN7eC

Access the data

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: Distinguished Professor Kerrie Mengersen
Phone: +61 7 3138 2063
Fax: +61 7 3138 2063

Other

Date record created:
2014-06-30T11:30:59
Date record modified:
2019-08-01T12:04:51
Record status:
Published - Open Access