A Systematic Benchmark of Nanopore Long Read RNA Sequencing for Transcript Level Analysis in Human Cell Lines
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.21.440736; this version posted April 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines Authors: Ying Chen1, Nadia M. Davidson2,3, Yuk Kei Wan1, Harshil Patel4, Fei Yao1, Hwee Meng Low1, Christopher Hendra1,5, Laura Watten1, Andre Sim1, Chelsea Sawyer4, Viktoriia Iakovleva1,6, Puay Leng Lee1, Lixia Xin1, Hui En Vanessa Ng7, Jia Min Loo1, Xuewen Ong8, Hui Qi Amanda Ng1, Jiaxu Wang1, Wei Qian Casslynn Koh1, Suk Yeah Polly Poon1, Dominik Stanojevic1,9, Hoang-Dai Tran1, Kok Hao Edwin Lim1, Shen Yon Toh10, Philip Andrew Ewels11, Huck-Hui Ng1, N.Gopalakrishna Iyer10,12, Alexandre Thiery13, Wee Joo Chng6,7,14, Leilei Chen7,15, Ramanuj DasGupta1, Mile Sikic1,9, Yun-Shen Chan1, Boon Ooi Patrick Tan1,7,8, Yue Wan1, Wai Leong Tam1,7,16,17, Qiang Yu1, Chiea Chuan Khor1,12,18, Torsten Wüstefeld1,10,14, Ploy N. Pratanwanich1,19,20, Michael I. Love21,22, Wee Siong Sho Goh1, 23, Sarah B. Ng1, Alicia Oshlack2,24, Jonathan Göke1,10*, SG-NEx consortium Affiliations: 1.Genome Institute of Singapore, Singapore, Singapore 2.Peter MacCallum Cancer Centre, Melbourne, VIC, Australia 3.School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia 4.Bioinformatics and Biostatistics, The
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