Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/29267| Title: | IsoXpressor: A tool to assess transcriptional activity within isochores |
| Authors: | Ayad, LAK Dourou, A-M Arhondakis, S Pissis, SP |
| Keywords: | isochores;transcription;preimplantation;GC level;RNA-Seq |
| Issue Date: | 28-Aug-2020 |
| Publisher: | Oxford University Press on behalf of the Society for Molecular Biology and Evolution |
| Citation: | Ayad, L.A.K. et al. (2021) 'IsoXpressor: A tool to assess transcriptional activity within isochores', Genome Biology and Evolution 12, (9), pp. 1573 - 1578. doi: 10.1093/GBE/EVAA171. |
| Abstract: | Genomes are characterized by large regions of homogeneous base compositions known as isochores. The latter are divided into GC-poor and GC-rich classes linked to distinct functional and structural properties. Several studies have addressed how isochores shape function and structure. To aid in this important subject, we present IsoXpressor, a tool designed for the analysis of the functional property of transcription within isochores. IsoXpressor allows users to process RNA-Seq data in relation to the isochores, and it can be employed to investigate any biological question of interest for any species. The results presented herein as proof of concept are focused on the preimplantation process in Homo sapiens (human) and Macaca mulatta (rhesus monkey). |
| Description: | Data Availability: The data underlying this article are available in the article and in its Supplementary Material online at: https://academic.oup.com/gbe/article/12/9/1573/5898630#207856986. |
| URI: | https://bura.brunel.ac.uk/handle/2438/29267 |
| DOI: | https://doi.org/10.1093/GBE/EVAA171 |
| Other Identifiers: | ORCiD: Lorraine A. K. Ayad https://orcid.org/0000-0003-0846-2616 |
| Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. This is an Open Access pre-copy-editing, author-produced version of an article accepted for publication in Genome Biology and Evolution following peer review. distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. The definitive publisher-authenticated version [insert complete citation information here] is available online at: https://doi.org/10.1093/GBE/EVAA171 (see: https://global.oup.com/academic/rights/permissions/autperm/?cc=gb&lang=en&). | 1.14 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
