Phylogenetic reconstruction of ancestral character states for gene expression and mRNA splicing data
dc.creator | Rossness, R | |
dc.creator | Eidhammer, I | |
dc.creator | Liberles, DA | |
dc.date.accessioned | 2021-02-01T22:24:30Z | |
dc.date.available | 2021-02-01T22:24:30Z | |
dc.date.issued | 2005-05-27 | |
dc.identifier.issn | 1471-2105 | |
dc.identifier.issn | 1471-2105 | |
dc.identifier.doi | http://dx.doi.org/10.34944/dspace/5630 | |
dc.identifier.other | 15921519 (pubmed) | |
dc.identifier.uri | http://hdl.handle.net/20.500.12613/5648 | |
dc.description.abstract | Background: As genomes evolve after speciation, gene content, coding sequence, gene expression, and splicing all diverge with time from ancestors with close relatives. A minimum evolution general method for continuous character analysis in a phylogenetic perspective is presented that allows for reconstruction of ancestral character states and for measuring along branch evolution. Results: A software package for reconstruction of continuous character traits, like relative gene expression levels or alternative splice site usage data is presented and is available for download at http://www.rossnes.org/phyrex. This program was applied to a primate gene expression dataset to detect transcription factor binding sites that have undergone substitution, potentially having driven lineage-specific differences in gene expression. Conclusion: Systematic analysis of lineage-specific evolution is becoming the cornerstone of comparative genomics. New methods, like phyrex, extend the capabilities of comparative genomics by tracing the evolution of additional biomolecular processes. © 2005 Rossnes et al., licensee BioMed Central Ltd. | |
dc.format.extent | 127-127 | |
dc.language.iso | eng | |
dc.relation.haspart | BMC Bioinformatics | |
dc.relation.isreferencedby | Springer Science and Business Media LLC | |
dc.rights | CC BY | |
dc.subject | Alternative Splicing | |
dc.subject | Animals | |
dc.subject | Biological Evolution | |
dc.subject | Brain | |
dc.subject | Cell Lineage | |
dc.subject | Computational Biology | |
dc.subject | Evolution, Molecular | |
dc.subject | Gene Expression | |
dc.subject | Gene Expression Regulation | |
dc.subject | Genome | |
dc.subject | Genomics | |
dc.subject | Humans | |
dc.subject | Liver | |
dc.subject | Models, Genetic | |
dc.subject | Molecular Sequence Data | |
dc.subject | Pan troglodytes | |
dc.subject | Phylogeny | |
dc.subject | Pongo pygmaeus | |
dc.subject | RNA, Messenger | |
dc.subject | Sequence Analysis, Protein | |
dc.subject | Software | |
dc.title | Phylogenetic reconstruction of ancestral character states for gene expression and mRNA splicing data | |
dc.type | Article | |
dc.type.genre | Journal Article | |
dc.relation.doi | 10.1186/1471-2105-6-127 | |
dc.ada.note | For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu | |
dc.creator.orcid | Liberles, David A|0000-0003-3487-8826 | |
dc.date.updated | 2021-02-01T22:24:27Z | |
refterms.dateFOA | 2021-02-01T22:24:31Z |