How good are those RNA-seq data?

被引：0
|
作者：
机构：
来源：
Nature Methods | 2015年 / 12卷 / 10期
关键词：
D O I：
10.1038/nmeth.3595
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：910 / 910
相关论文
共 50 条
  • [41] RNA-seq into the toolkit
    Darren J. Burgess
    Nature Reviews Genetics, 2013, 14 : 155 - 155
  • [42] A Framework for Comparison and Assessment of Synthetic RNA-Seq Data
    Shakola, Felitsiya
    Palejev, Dean
    Ivanov, Ivan
    GENES, 2022, 13 (12)
  • [43] The Detection of Transposon Sequences in Neuroblastoma RNA-seq Data
    Yamada, Shiro
    Sugimoto, Ryota
    Itou, Jumpei
    Hayano, Takahide
    Tomiyama, Tetsuro
    Mochizuki, Hiroyuki
    Inoue, Ituro
    PEDIATRIC BLOOD & CANCER, 2017, 64 : S45 - S45
  • [44] Bias and Correction in RNA-seq Data for Marine Species
    Kai Song
    Li Li
    Guofan Zhang
    Marine Biotechnology, 2017, 19 : 541 - 550
  • [45] Temporal dynamics in meta longitudinal RNA-Seq data
    Sunghee Oh
    Congjun Li
    Ransom L. Baldwin
    Seongho Song
    Fang Liu
    Robert W. Li
    Scientific Reports, 9
  • [46] Oqtans: a multifunctional workbench for RNA-seq data analysis
    Sreedharan, Vipin T.
    Schultheiss, Sebastian J.
    Jean, Geraldine
    Kahles, Andre
    Bohnert, Regina
    Drewe, Philipp
    Mudrakarta, Pramod
    Goernitz, Nico
    Zeller, Georg
    Raetsch, Gunnar
    BMC BIOINFORMATICS, 2014, 15
  • [47] RNA-Seq unleashed
    Matthew K Iyer
    Arul M Chinnaiyan
    Nature Biotechnology, 2011, 29 : 599 - 600
  • [48] In situ RNA-seq
    Hannah Stower
    Nature Reviews Genetics, 2013, 14 (9) : 596 - 596
  • [49] THE TRUE RNA-SEQ
    Rusk, Nicole
    NATURE METHODS, 2009, 6 (11) : 790 - 791
  • [50] Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data
    Chen, Siqi
    Yan, Xuhua
    Zheng, Ruiqing
    Li, Min
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (01)
12345