A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis

Zhang R, Kuo R, Coulter M, Calixto CPG, Entizne JC, Guo W, Marquez Y, Milne L, Riegler S, Matsui A, Tanaka M, et al. (2022)
Genome biology 23(1): 149.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Zhang, Runxuan; Kuo, Richard; Coulter, Max; Calixto, Cristiane P G; Entizne, Juan Carlos; Guo, Wenbin; Marquez, Yamile; Milne, Linda; Riegler, Stefan; Matsui, Akihiro; Tanaka, Maho; Harvey, Sarah
Alle
Abstract / Bemerkung
Accurate and comprehensive annotation of transcript sequences is essential for transcript quantification and differential gene and transcript expression analysis. Single-molecule long-read sequencing technologies provide improved integrity of transcript structures including alternative splicing, and transcription start and polyadenylation sites. However, accuracy is significantly affected by sequencing errors, mRNA degradation, or incomplete cDNA synthesis.
Erscheinungsjahr
2022
Zeitschriftentitel
Genome biology
Band
23
Ausgabe
1
Art.-Nr.
149
eISSN
1474-760X
Page URI
https://pub.uni-bielefeld.de/record/2964517

Zitieren

Zhang R, Kuo R, Coulter M, et al. A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome biology. 2022;23(1): 149.
Zhang, R., Kuo, R., Coulter, M., Calixto, C. P. G., Entizne, J. C., Guo, W., Marquez, Y., et al. (2022). A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome biology, 23(1), 149. https://doi.org/10.1186/s13059-022-02711-0
Zhang, Runxuan, Kuo, Richard, Coulter, Max, Calixto, Cristiane P G, Entizne, Juan Carlos, Guo, Wenbin, Marquez, Yamile, et al. 2022. “A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis”. Genome biology 23 (1): 149.
Zhang, R., Kuo, R., Coulter, M., Calixto, C. P. G., Entizne, J. C., Guo, W., Marquez, Y., Milne, L., Riegler, S., Matsui, A., et al. (2022). A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome biology 23:149.
Zhang, R., et al., 2022. A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome biology, 23(1): 149.
R. Zhang, et al., “A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis”, Genome biology, vol. 23, 2022, : 149.
Zhang, R., Kuo, R., Coulter, M., Calixto, C.P.G., Entizne, J.C., Guo, W., Marquez, Y., Milne, L., Riegler, S., Matsui, A., Tanaka, M., Harvey, S., Gao, Y., WieSSner-Kroh, T., Paniagua, A., Crespi, M., Denby, K., Hur, A.B., Huq, E., Jantsch, M., Jarmolowski, A., Köster, T., Laubinger, S., Li, Q.Q., Gu, L., Seki, M., Staiger, D., Sunkar, R., Szweykowska-Kulinska, Z., Tu, S.-L., Wachter, A., Waugh, R., Xiong, L., Zhang, X.-N., Conesa, A., Reddy, A.S.N., Barta, A., Kalyna, M., Brown, J.W.S.: A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis. Genome biology. 23, : 149 (2022).
Zhang, Runxuan, Kuo, Richard, Coulter, Max, Calixto, Cristiane P G, Entizne, Juan Carlos, Guo, Wenbin, Marquez, Yamile, Milne, Linda, Riegler, Stefan, Matsui, Akihiro, Tanaka, Maho, Harvey, Sarah, Gao, Yubang, WieSSner-Kroh, Theresa, Paniagua, Alejandro, Crespi, Martin, Denby, Katherine, Hur, Asa Ben, Huq, Enamul, Jantsch, Michael, Jarmolowski, Artur, Köster, Tino, Laubinger, Sascha, Li, Qingshun Quinn, Gu, Lianfeng, Seki, Motoaki, Staiger, Dorothee, Sunkar, Ramanjulu, Szweykowska-Kulinska, Zofia, Tu, Shih-Long, Wachter, Andreas, Waugh, Robbie, Xiong, Liming, Zhang, Xiao-Ning, Conesa, Ana, Reddy, Anireddy S N, Barta, Andrea, Kalyna, Maria, and Brown, John W S. “A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis”. Genome biology 23.1 (2022): 149.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Quellen

PMID: 35799267
PubMed | Europe PMC

Suchen in

Google Scholar