@inproceedings{978592b5fd084e6fb80115f802151703,
title = "Analysis of transcriptome assembly pipelines for wheat",
abstract = "With advances in next-generation sequencing technologies, transcriptome sequencing has emerged as a powerful tool for performing transcriptome analysis for various organisms. Obtaining draft transcriptome of an organism is a complex multi-stage pipeline with several steps such as data cleaning, error correction and assembly. Based on the analysis performed in this paper, we conclude that the best assembly is produced when the error correction method is used with Velvet Oases and the 'multi-k' strategy that combines the 5 k-mer assemblies with highest N50. Our results provide valuable insight for designing good de novo transcriptome assembly pipeline for a given application.",
keywords = "De novo assembly, Digital normalization, Error correction, K-mer length, Multi-k method, Transcriptome assembly",
author = "Natasha Pavlovikj and Kevin Begcy and Sairam Behera and Malachy Campbell and Harkamal Walia and Deogun, {Jitender S.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016 ; Conference date: 15-12-2016 Through 18-12-2016",
year = "2017",
month = jan,
day = "17",
doi = "10.1109/BIBM.2016.7822507",
language = "English (US)",
series = "Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "137--140",
editor = "Kevin Burrage and Qian Zhu and Yunlong Liu and Tianhai Tian and Yadong Wang and Hu, {Xiaohua Tony} and Qinghua Jiang and Jiangning Song and Shinichi Morishita and Kevin Burrage and Guohua Wang",
booktitle = "Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016",
}