Home
Reference Report
| Reference | |||
|---|---|---|---|
| Citation | Hazelett, D.J., Lakeland, D.L., Weiss, J.B. (2009). Affinity Density: a novel genomic approach to the identification of transcription factor regulatory targets. Bioinformatics 25(13): 1617--1624. (Export to RIS) | ||
| FlyBase ID | FBrf0213239 | ||
| Publication Type | Research paper | ||
| PubMed ID | 19401399 | ||
| PubMed Abstract | A new method was developed for identifying novel transcription factor regulatory targets based on calculating Local Affinity Density. Techniques from the signal-processing field were used, in particular the Hann digital filter, to calculate the relative binding affinity of different regions based on previously published in vitro binding data. To illustrate this approach, the complete genomes of Drosophila melanogaster and D.pseudoobscura were analyzed for binding sites of the homeodomain proteinc Tinman, an essential heart development gene in both Drosophila and Mouse. The significant binding regions were identified relative to genomic background and assigned to putative target genes. Valid candidates common to both species of Drosophila were selected as a test of conservation.The new method was more sensitive than cluster searches for conserved binding motifs with respect to positive identification of known Tinman targets. Our Local Affinity Density method also identified a significantly greater proportion of Tinman-coexpressed genes than equivalent, optimized cluster searching. In addition, this new method predicted a significantly greater than expected number of genes with previously published RNAi phenotypes in the heart.Algorithms were implemented in Python, LISP, R and maxima, using MySQL to access locally mirrored sequence data from Ensembl (D.melanogaster release 4.3) and flybase (D.pseudoobscura). All code is licensed under GPL and freely available at http://www.ohsu.edu/cellbio/dev_biol_prog/affinitydensity/. | ||
| DOI | 10.1093/bioinformatics/btp282 | ||
| Related Publication(s) | |||
Recent Updates
|
|||
| Description |
What does this section display?
This section contains items that were added to this record for each release.
It currently only tracks new links between this FlyBase report and other
FlyBase data classes (e.g. genes, references, stocks) or controlled
vocabulary terms (e.g. GO, anatomy terms).
What does this section not display?
This section does not currently display links that were removed or gene model changes.
|
||
| Update Feed |
Click the icon below to subscribe to this FlyBase record and receive updates automatically through your
feed reader.
|
||
| FB2013_03 | |||
| FB2013_02 | |||
| All updates | Click here to see a list of all updates to this record from FB2010_08 and on. | ||
|
Associated Information
|
|||
| Comments | |||
| Associated Files | |||
|
Other Information
|
|||
| Secondary IDs | |||
| Language of Publication | English | ||
| Additional Languages of Abstract | |||
| Also Published As | |||
|
Parent Publication
|
|||
| Publication Type | Journal | ||
| Abbreviation | Bioinformatics | ||
| Title | Bioinformatics | ||
| Publication Year | 1998- | ||
| ISBN/ISSN | 1367-4803 | ||
|
Data from Reference
|
|||
| Genes (110)
|
|||
|
|||