Description Details Author(s) References
The package imports fusion results from tophat-fusion, tophat-fusion-post, mapSplice, deFuse, fusionmap, bellerophontes, fusionfinder, fusionhunter, STAR, Rsubread, fusionCatcher.
The package was design to facilitate the characterisation of fusion products events.
Data upload:
outputs for the above indicated fusion detection tools can be imported using importFusionData in a list of fSet objects.
fSet-class offers various methods to extract information from the fSet objects.
The fusion names can be extracted with fusionName function.
The number of reads supporting a fusion event cam be extracted with the supportingReads function.
Filtering:
The imported fusion list can be filtered using filterList
Annotation:
Oncofuse can be installed in chimera with the function oncofuseInstallation
Various information on the fusions location, on structural and functional domains affected by the fusion event as well as a prediction of the putative functional effect of the fusion on the cell can be obtained by using oncofuseRun.
chimeraSeqs generates the nucleotide sequence of a fusion transcript described in an fSet object. chimeraSeqSet does the same but on a list of fSet objects.
fusionPeptides allows to investigate if the fusion events generate also a fusion at protein level.
subreadRun allows to remap reads on the fused transcripts reconstructed with chimeraSeqs
Validation
GapFiller is a seed-and-extend local assembler capable to produce (in-silico) longer and highly accurate sequences from a collection of Next Generation Sequencing reads. It can be installed in chimera with the function gapfillerInstallation.
The function gapfillerRun allows to check if reads mapped by subreadRun over a fused transcript generated with chimeraSeqs are able to reconstruct by de novo assembly the fusion break-point.
Export
The function prettyPrint converts the information stored in a list of fSet objects in a dataframe structure that is saved as tab delimited file.
| Package: | chimera |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2014-31-07 |
| License: | Artistic-2.0 |
Raffaele A Calogero Maintainer: Raffaele A Calogero <raffaele.calogero@unito.it>
Beccuti M, et al. The structure of state-of-art gene fusion-finder algorithms. OA Bioinformatics 2013;1(1):2. Carrara, M., et al. State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues? BMC bioinformatics 2013;14 Suppl 7:S2. Carrara, M., et al. State-of-the-Art Fusion-Finder Algorithms Sensitivity and Specificity. BioMed research international 2013;2013:340620. Shugay, M., et al. Oncofuse: a computational framework for the prediction of the oncogenic potential of gene fusions. Bioinformatics 2013;29(20):2539-2546. Nadalin, F., et al. GapFiller: a de novo assembly approach to fill the gap within paired reads. BMC bioinformatics 2012;13 Suppl 14:S8.
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