Using normalization to resolve RNA-Seq biases caused by amplification from minimal input
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using normalization to resolve RNA-Seq biases caused by amplification from minimal input
Authors
Keywords
-
Journal
PHYSIOLOGICAL GENOMICS
Volume 46, Issue 21, Pages 808-820
Publisher
American Physiological Society
Online
2014-09-17
DOI
10.1152/physiolgenomics.00196.2013
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Technical Variations in Low-Input RNA-seq Methodologies
- (2014) Vipul Bhargava et al. Scientific Reports
- A comparison of methods for differential expression analysis of RNA-seq data
- (2013) Charlotte Soneson et al. BMC BIOINFORMATICS
- Signal transduction involved in GnRH2-stimulation of identified LH-producing gonadotropes from lhb-GFP transgenic medaka (Oryzias latipes)
- (2013) Rønnaug A.U. Strandabø et al. MOLECULAR AND CELLULAR ENDOCRINOLOGY
- Comparative analysis of RNA sequencing methods for degraded or low-input samples
- (2013) Xian Adiconis et al. NATURE METHODS
- The Pituitary Gland of the European Eel Reveals Massive Expression of Genes Involved in the Melanocortin System
- (2013) Eirill Ager-Wick et al. PLoS One
- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
- (2013) Daehwan Kim et al. GENOME BIOLOGY
- Removing technical variability in RNA-seq data using conditional quantile normalization
- (2012) K. D. Hansen et al. BIOSTATISTICS
- Developmental tracing of luteinizing hormone β-subunit gene expression using green fluorescent protein transgenic medaka (Oryzias latipes) reveals a putative novel developmental function
- (2012) Jon Hildahl et al. DEVELOPMENTAL DYNAMICS
- Optimized conditions for primary culture of pituitary cells from the Atlantic cod (Gadus morhua). The importance of osmolality, pCO2, and pH
- (2012) Kjetil Hodne et al. GENERAL AND COMPARATIVE ENDOCRINOLOGY
- Complete viral RNA genome sequencing of ultra-low copy samples by sequence-independent amplification
- (2012) Christine M. Malboeuf et al. NUCLEIC ACIDS RESEARCH
- Two methods for full-length RNA sequencing for low quantities of cells and single cells
- (2012) X. Pan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Differential regulation of the luteinizing hormone genes in teleosts and tetrapods due to their distinct genomic environments – Insights into gonadotropin beta subunit evolution
- (2011) Shinji Kanda et al. GENERAL AND COMPARATIVE ENDOCRINOLOGY
- Differential expression in RNA-seq: A matter of depth
- (2011) S. Tarazona et al. GENOME RESEARCH
- Integrative genomics viewer
- (2011) James T Robinson et al. NATURE BIOTECHNOLOGY
- Whole-transcriptome RNAseq analysis from minute amount of total RNA
- (2011) Muhammad A. Tariq et al. NUCLEIC ACIDS RESEARCH
- From RNA-seq reads to differential expression results
- (2011) Alicia Oshlack et al. GENOME BIOLOGY
- Highly consistent, fully representative mRNA-Seq libraries from ten nanograms of total RNA
- (2010) Srikumar Sengupta et al. BIOTECHNIQUES
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
- (2010) James H Bullard et al. BMC BIOINFORMATICS
- RNA-Seq gene expression estimation with read mapping uncertainty
- (2009) Bo Li et al. BIOINFORMATICS
- TopHat: discovering splice junctions with RNA-Seq
- (2009) Cole Trapnell et al. BIOINFORMATICS
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
- (2008) J. C. Marioni et al. GENOME RESEARCH
- Stem cell transcriptome profiling via massive-scale mRNA sequencing
- (2008) Nicole Cloonan et al. NATURE METHODS
- Mapping and quantifying mammalian transcriptomes by RNA-Seq
- (2008) Ali Mortazavi et al. NATURE METHODS
- The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
- (2008) U. Nagalakshmi et al. SCIENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now