Whole transcriptome RNA-Seq allelic expression in human brain

被引：0
|
作者：
Ryan M Smith
Amy Webb
Audrey C Papp
Leslie C Newman
Samuel K Handelman
Adam Suhy
Roshan Mascarenhas
John Oberdick
Wolfgang Sadee
机构：
[1] The Ohio State University Wexner Medical Center,Department of Pharmacology, Program in Pharmacogenomics; College of Medicine
[2] The Ohio State University Wexner Medical Center,Department of Biomedical Informatics, Program in Pharmacogenomics; College of Medicine
[3] The Ohio State University Wexner Medical Center,Department of Neuroscience; College of Medicine
[4] The Ohio State University Wexner Medical Center,Departments of Pharmacology, Psychiatry, Human Genetics/Internal Medicine, College of Medicine, College of Pharmacy, and Environmental Health Sciences
来源：
BMC Genomics | / 14卷
关键词：
RNA-Seq; Whole transcriptome; Allele expression; mRNA expression; Functional genetics; Regulatory polymorphism; eQTL; Read alignment; Next generation sequencing; Bioinformatics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq
    Park, Kyung-Do
    Park, Jongsun
    Ko, Junsu
    Kim, Byung Chul
    Kim, Heui-Soo
    Ahn, Kung
    Do, Kyoung-Tag
    Choi, Hansol
    Kim, Hak-Min
    Song, Sanghoon
    Lee, Sunghoon
    Jho, Sungwoong
    Kong, Hong-Sik
    Yang, Young Mok
    Jhun, Byung-Hak
    Kim, Chulhong
    Kim, Tae-Hyung
    Hwang, Seungwoo
    Bhak, Jong
    Lee, Hak-Kyo
    Cho, Byung-Wook
    BMC GENOMICS, 2012, 13
  • [42] Zinc-mediated RNA fragmentation allows robust transcript reassembly upon whole transcriptome RNA-Seq
    Wery, Maxime
    Descrimes, Marc
    Thermes, Claude
    Gautheret, Daniel
    Morillon, Antonin
    METHODS, 2013, 63 (01) : 25 - 31
  • [43] Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq
    Kyung-Do Park
    Jongsun Park
    Junsu Ko
    Byung Chul Kim
    Heui-Soo Kim
    Kung Ahn
    Kyoung-Tag Do
    Hansol Choi
    Hak-Min Kim
    Sanghoon Song
    Sunghoon Lee
    Sungwoong Jho
    Hong-Sik Kong
    Young Mok Yang
    Byung-Hak Jhun
    Chulhong Kim
    Tae-Hyung Kim
    Seungwoo Hwang
    Jong Bhak
    Hak-Kyo Lee
    Byung-Wook Cho
    BMC Genomics, 13
  • [44] RNA-Seq reveals transcriptome diversity in CHO cells
    Vishwanathan, Nandita
    Yongky, Andrew
    Yusufi, Faraaz N. K.
    Lee, Dong Yup
    Hu, Wei-Shou
    Johnson, Kathryn C.
    Jacob, Nitya M.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 247
  • [45] Transcriptome analysis of wheat grain using RNA-Seq
    Wei, Liu
    Wu, Zhihui
    Zhang, Yufeng
    Guo, Dandan
    Xu, Yuzhou
    Chen, Weixia
    Zhou, Haiying
    You, Mingshan
    Li, Baoyun
    FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING, 2014, 1 (03) : 214 - 222
  • [46] Analysis of chromosomal aberrations and recombination by allelic bias in RNA-Seq
    Weissbein, Uri
    Schachter, Maya
    Egli, Dieter
    Benvenisty, Nissim
    NATURE COMMUNICATIONS, 2016, 7
  • [47] A Precision Medicine Approach Using Whole Transcriptome Profiling by RNA-seq for B Cell Cancers
    Andrews, Jared
    Zaydman, Mark
    Pyfrom, Sarah
    Schmidt, Jennifer
    Luo, Hong
    Koues, Olivia
    Oltz, Eugene
    Payton, Jacqueline
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2018, 149 : S167 - S167
  • [48] Quantitative RNA-seq analysis of the Campylobacter jejuni transcriptome
    Chaudhuri, Roy R.
    Yu, Lu
    Kanji, Alpa
    Perkins, Timothy T.
    Gardner, Paul P.
    Choudhary, Jyoti
    Maskell, Duncan J.
    Grant, Andrew J.
    MICROBIOLOGY-SGM, 2011, 157 : 2922 - 2932
  • [49] TRANSCRIPTOME ANALYSIS OF SINGLE BOVINE EMBRYOS BY RNA-Seq
    Ross, P. J.
    Chitwood, J. L.
    REPRODUCTION FERTILITY AND DEVELOPMENT, 2012, 24 (01) : 182 - 182
  • [50] Evaluation of the coverage and depth of transcriptome by RNA-Seq in chickens
    Ying Wang
    Noushin Ghaffari
    Charles D Johnson
    Ulisses M Braga-Neto
    Hui Wang
    Rui Chen
    Huaijun Zhou
    BMC Bioinformatics, 12
12345