3 Statistical issues 3 3.1 Experimental design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3.2 Batch effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.3 Summarizing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.4 Normalization . . . ...

RNAseq and microarray methods are frequently used to measure gene expression level. While similar in purpose, there are fundamental differences between the two technologies. Here, we present the largest comparative study between microarray and RNAseq methods to date using The Cancer Genome Atlas (TCGA) data. We found high correlations between expression data obtained from the Affymetrix one-cha...

Sample size and power determination is the first step in the experimental design of a successful study. Sample size and power calculation is required for applications for National Institutes of Health (NIH) funding. Sample size and power calculation is well established for traditional biological studies such as mouse model, genome wide association study (GWAS), and microarray studies. Recent de...

Current criteria for identifying cancer patients suitable for immunotherapy with immune checkpoint blockers (ICBs) are subjective and prone to misinterpretation, as they mainly rely on the visual assessment of CD274 (best known as PD-L1) expression levels by immunohistochemistry (IHC). To address this issue, we developed a RNA sequencing (RNAseq)-based approach that specifically measures the ab...

Dataset taken from Somel et al. 2012: (check publication for details) • 3 human + 3 chimp brain transcriptome data • Illumina RNA-Seq, paired-end 76bp • Reads mapped to human and chimp genome and reads counted for each transcript Download the following data files into a directory of your choice (e.g. data): • Human: http://www.nowick-lab.info/wp-content/uploads/2013/12/segemehl.hg19.readCount.t...

BACKGROUND After a decade of microarray technology dominating the field of high-throughput gene expression profiling, the introduction of RNAseq has revolutionized gene expression research. While RNAseq provides more abundant information than microarray, its analysis has proved considerably more complicated. To date, no consensus has been reached on the best approach for RNAseq-based differenti...

Summary Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution bas...

November 21, 2016 Type Package Title iASeq: integrating multiple sequencing datasets for detecting allele-specific events Version 1.18.0 Date 2012-02-13 Author Yingying Wei, Hongkai Ji Maintainer Yingying Wei Description It fits correlation motif model to multiple RNAseq or ChIPseq studies to improve detection of allele-specific events and describe correlation patterns across s...

April 25, 2017 Type Package Title iASeq: integrating multiple sequencing datasets for detecting allele-specific events Version 1.20.0 Date 2012-02-13 Author Yingying Wei, Hongkai Ji Maintainer Yingying Wei Description It fits correlation motif model to multiple RNAseq or ChIPseq studies to improve detection of allele-specific events and describe correlation patterns across stud...