Exploiting single-molecule transcript sequencing for eukaryotic gene prediction

Minoche AE, Dohm JC, Schneider J, Holtgräwe D, Viehöver P, Montfort M, Rosleff Sörensen T, Weisshaar B, Himmelbauer H (2015)
Genome Biology 16: 184.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
We develop a method to predict and validate gene models using PacBio single-molecule, real-time (SMRT) cDNA reads. Ninety-eight percent of full-insert SMRT reads span complete open reading frames. Gene model validation using SMRT reads is developed as automated process. Optimized training and prediction settings and mRNA-seq noise reduction of assisting Illumina reads results in increased gene prediction sensitivity and precision. Additionally, we present an improved gene set for sugar beet (Beta vulgaris) and the first genome-wide gene set for spinach (Spinacia oleracea). The workflow and guidelines are a valuable resource to obtain comprehensive gene sets for newly sequenced genomes of non-model eukaryotes.
Erscheinungsjahr
2015
Zeitschriftentitel
Genome Biology
Band
16
Art.-Nr.
184
eISSN
1474-760X
Page URI
https://pub.uni-bielefeld.de/record/2764063

Zitieren

Minoche AE, Dohm JC, Schneider J, et al. Exploiting single-molecule transcript sequencing for eukaryotic gene prediction. Genome Biology. 2015;16: 184.
Minoche, A. E., Dohm, J. C., Schneider, J., Holtgräwe, D., Viehöver, P., Montfort, M., Rosleff Sörensen, T., et al. (2015). Exploiting single-molecule transcript sequencing for eukaryotic gene prediction. Genome Biology, 16, 184. doi:10.1186/s13059-015-0729-7
Minoche, A. E., Dohm, J. C., Schneider, J., Holtgräwe, D., Viehöver, P., Montfort, M., Rosleff Sörensen, T., Weisshaar, B., and Himmelbauer, H. (2015). Exploiting single-molecule transcript sequencing for eukaryotic gene prediction. Genome Biology 16:184.
Minoche, A.E., et al., 2015. Exploiting single-molecule transcript sequencing for eukaryotic gene prediction. Genome Biology, 16: 184.
A.E. Minoche, et al., “Exploiting single-molecule transcript sequencing for eukaryotic gene prediction”, Genome Biology, vol. 16, 2015, : 184.
Minoche, A.E., Dohm, J.C., Schneider, J., Holtgräwe, D., Viehöver, P., Montfort, M., Rosleff Sörensen, T., Weisshaar, B., Himmelbauer, H.: Exploiting single-molecule transcript sequencing for eukaryotic gene prediction. Genome Biology. 16, : 184 (2015).
Minoche, Andre E, Dohm, Juliane C, Schneider, Jessica, Holtgräwe, Daniela, Viehöver, Prisca, Montfort, Magda, Rosleff Sörensen, Thomas, Weisshaar, Bernd, and Himmelbauer, Heinz. “Exploiting single-molecule transcript sequencing for eukaryotic gene prediction”. Genome Biology 16 (2015): 184.
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