Title |
Open-access synthetic spike-in mRNA-seq data for cancer gene fusions
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Published in |
BMC Genomics, September 2014
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DOI | 10.1186/1471-2164-15-824 |
Pubmed ID | |
Authors |
Waibhav D Tembe, Stephanie JK Pond, Christophe Legendre, Han-Yu Chuang, Winnie S Liang, Nancy E Kim, Valerie Montel, Shukmei Wong, Timothy K McDaniel, David W Craig, John D Carpten |
Abstract |
Oncogenic fusion genes underlie the mechanism of several common cancers. Next-generation sequencing based RNA-seq analyses have revealed an increasing number of recurrent fusions in a variety of cancers. However, absence of a publicly available gene-fusion focused RNA-seq data impedes comparative assessment and collaborative development of novel gene fusions detection algorithms. We have generated nine synthetic poly-adenylated RNA transcripts that correspond to previously reported oncogenic gene fusions. These synthetic RNAs were spiked at known molarity over a wide range into total RNA prior to construction of next-generation sequencing mRNA libraries to generate RNA-seq data. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 5 | 28% |
France | 3 | 17% |
United Kingdom | 2 | 11% |
Japan | 1 | 6% |
Germany | 1 | 6% |
Canada | 1 | 6% |
Unknown | 5 | 28% |
Demographic breakdown
Type | Count | As % |
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Scientists | 10 | 56% |
Members of the public | 8 | 44% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 4% |
Czechia | 1 | 2% |
Brazil | 1 | 2% |
New Zealand | 1 | 2% |
Denmark | 1 | 2% |
Unknown | 44 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 34% |
Researcher | 16 | 32% |
Student > Bachelor | 4 | 8% |
Other | 3 | 6% |
Student > Master | 2 | 4% |
Other | 5 | 10% |
Unknown | 3 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 36% |
Biochemistry, Genetics and Molecular Biology | 11 | 22% |
Engineering | 4 | 8% |
Medicine and Dentistry | 4 | 8% |
Computer Science | 3 | 6% |
Other | 5 | 10% |
Unknown | 5 | 10% |