Title |
State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?
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Published in |
BMC Bioinformatics, April 2013
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DOI | 10.1186/1471-2105-14-s7-s2 |
Pubmed ID | |
Authors |
Matteo Carrara, Marco Beccuti, Federica Cavallo, Susanna Donatelli, Fulvio Lazzarato, Francesca Cordero, Raffaele A Calogero |
Abstract |
RNA-seq has the potential to discover genes created by chromosomal rearrangements. Fusion genes, also known as "chimeras", are formed by the breakage and re-joining of two different chromosomes. It is known that chimeras have been implicated in the development of cancer. Few publications in the past showed the presence of fusion events also in normal tissue, but with very limited overlaps between their results. More recently, two fusion genes in normal tissues were detected using both RNA-seq and protein data.Due to heterogeneous results in identifying chimeras in normal tissue, we decided to evaluate the efficacy of state of the art fusion finders in detecting chimeras in RNA-seq data from normal tissues. |
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Geographical breakdown
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China | 1 | 33% |
Demographic breakdown
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 3% |
United States | 4 | 3% |
France | 1 | <1% |
Norway | 1 | <1% |
Ukraine | 1 | <1% |
Germany | 1 | <1% |
China | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 106 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 29 | 24% |
Student > Ph. D. Student | 28 | 23% |
Student > Master | 16 | 13% |
Student > Bachelor | 9 | 8% |
Student > Doctoral Student | 6 | 5% |
Other | 15 | 13% |
Unknown | 17 | 14% |
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Biochemistry, Genetics and Molecular Biology | 23 | 19% |
Computer Science | 10 | 8% |
Medicine and Dentistry | 5 | 4% |
Mathematics | 2 | 2% |
Other | 7 | 6% |
Unknown | 20 | 17% |