Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

被引:0
|
作者
William W. Wilfinger
Robert Miller
Hamid R. Eghbalnia
Karol Mackey
Piotr Chomczynski
机构
[1] Molecular Research Center,
[2] Inc.,undefined
[3] Robert Miller Enterprises,undefined
[4] LLC,undefined
[5] University of Wisconsin-Madison,undefined
[6] University of Cincinnati,undefined
来源
BMC Genomics | / 22卷
关键词
Scaling; Rank-order; Trendline; Biological variability; Biological pathway analysis; RNA sequencing; STRING-db; Minimum value adjustment; White blood cells;
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
  • [31] MDEHT: a multivariate approach for detecting differential expression of microRNA isoform data in RNA-sequencing studies
    Amanullah, Md
    Yu, Mengqian
    Sun, Xiwei
    Luo, Aoran
    Zhou, Qing
    Zhou, Liyuan
    Hou, Ling
    Wang, Wei
    Lu, Weiguo
    Liu, Pengyuan
    Lu, Yan
    BIOINFORMATICS, 2020, 36 (09) : 2657 - 2664
  • [32] CICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data
    Liqing Tian
    Yongjin Li
    Michael N. Edmonson
    Xin Zhou
    Scott Newman
    Clay McLeod
    Andrew Thrasher
    Yu Liu
    Bo Tang
    Michael C. Rusch
    John Easton
    Jing Ma
    Eric Davis
    Austyn Trull
    J. Robert Michael
    Karol Szlachta
    Charles Mullighan
    Suzanne J. Baker
    James R. Downing
    David W. Ellison
    Jinghui Zhang
    Genome Biology, 21
  • [33] Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data
    Raúl Y. Wijfjes
    Sandra Smit
    Dick de Ridder
    BMC Genomics, 20
  • [34] CICERO: a versatile method for detecting complex and diverse driver fusions using cancer RNA sequencing data
    Tian, Liqing
    Li, Yongjin
    Edmonson, Michael N.
    Zhou, Xin
    Newman, Scott
    McLeod, Clay
    Thrasher, Andrew
    Liu, Yu
    Tang, Bo
    Rusch, Michael C.
    Easton, John
    Ma, Jing
    Davis, Eric
    Trull, Austyn
    Michael, J. Robert
    Szlachta, Karol
    Mullighan, Charles
    Baker, Suzanne J.
    Downing, James R.
    Ellison, David W.
    Zhang, Jinghui
    GENOME BIOLOGY, 2020, 21 (01)
  • [35] CNV-Z; a new tool for detecting copy number variation in next generation sequencing data
    Adolfsson, Emma
    Jonasson, Jon
    Kashyap, Aniruddh
    Nordenskold, Anna
    Green, Anna
    SOFTWAREX, 2023, 24
  • [36] cnvOffSeq: detecting intergenic copy number variation using off-target exome sequencing data
    Bellos, Evangelos
    Coin, Lachlan J. M.
    BIOINFORMATICS, 2014, 30 (17) : I639 - I645
  • [37] Hecaton: reliably detecting copy number variation in plant genomes using short read sequencing data
    Wijfjes, Raul Y.
    Smit, Sandra
    de Ridder, Dick
    BMC GENOMICS, 2019, 20 (01)
  • [38] Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects
    Yunqing Liu
    Jiayi Zhao
    Taylor S. Adams
    Ningya Wang
    Jonas C. Schupp
    Weimiao Wu
    John E. McDonough
    Geoffrey L. Chupp
    Naftali Kaminski
    Zuoheng Wang
    Xiting Yan
    BMC Bioinformatics, 24 (1)
  • [39] RNA Sequencing Data Sets Identifying Differentially Expressed Transcripts during Campylobacter jejuni Biofilm Formation
    Tram, Greg
    Klare, William P.
    Cain, Joel A.
    Mourad, Basem
    Cordwell, Stuart J.
    Korolik, Victoria
    Day, Christopher J.
    MICROBIOLOGY RESOURCE ANNOUNCEMENTS, 2020, 9 (01):
  • [40] ReQTL: identifying correlations between expressed SNVs and gene expression using RNA-sequencing data
    Spurr, Liam F.
    Alomran, Nawaf
    Bousounis, Pavlos
    Reece-Stremtan, Dacian
    Prashant, N. M.
    Liu, Hongyu
    Slowinski, Piotr
    Li, Muzi
    Zhang, Qianqian
    Sein, Justin
    Asher, Gabriel
    Crandall, Keith A.
    Tsaneva-Atanasova, Krasimira
    Horvath, Anelia
    BIOINFORMATICS, 2020, 36 (05) : 1351 - 1359