RNA sequencing: the teenage years

R Stark, M Grzelak, J Hadfield - Nature Reviews Genetics, 2019 - nature.com
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

Metagenomic approaches in microbial ecology: an update on whole-genome and marker gene sequencing analyses

AE Pérez-Cobas, L Gomez-Valero… - Microbial …, 2020 - microbiologyresearch.org
Metagenomics and marker gene approaches, coupled with high-throughput sequencing
technologies, have revolutionized the field of microbial ecology. Metagenomics is a culture …

Exaggerated false positives by popular differential expression methods when analyzing human population samples

Y Li, X Ge, F Peng, W Li, JJ Li - Genome biology, 2022 - Springer
When identifying differentially expressed genes between two conditions using human
population RNA-seq samples, we found a phenomenon by permutation analysis: two …

TPM, FPKM, or normalized counts? A comparative study of quantification measures for the analysis of RNA-seq data from the NCI patient-derived models repository

Y Zhao, MC Li, MM Konaté, L Chen, B Das… - Journal of translational …, 2021 - Springer
Background In order to correctly decode phenotypic information from RNA-sequencing
(RNA-seq) data, careful selection of the RNA-seq quantification measure is critical for inter …

SOX17 enables immune evasion of early colorectal adenomas and cancers

N Goto, PMK Westcott, S Goto, S Imada, MS Taylor… - Nature, 2024 - nature.com
A hallmark of cancer is the avoidance of immune destruction. This process has been
primarily investigated in locally advanced or metastatic cancer,–; however, much less is …

Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data

J Chong, P Liu, G Zhou, J **a - Nature protocols, 2020 - nature.com
MicrobiomeAnalyst is an easy-to-use, web-based platform for comprehensive analysis of
common data outputs generated from current microbiome studies. It enables researchers …

Benchmarking of cell type deconvolution pipelines for transcriptomics data

F Avila Cobos, J Alquicira-Hernandez… - Nature …, 2020 - nature.com
Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

Pathway enrichment analysis and visualization of omics data using g: Profiler, GSEA, Cytoscape and EnrichmentMap

J Reimand, R Isserlin, V Voisin, M Kucera… - Nature protocols, 2019 - nature.com
Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists
generated from genome-scale (omics) experiments. This method identifies biological …

Trajectory-based differential expression analysis for single-cell sequencing data

K Van den Berge, H Roux de Bézieux, K Street… - Nature …, 2020 - nature.com
Trajectory inference has radically enhanced single-cell RNA-seq research by enabling the
study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital …

RNA-Seq signatures normalized by mRNA abundance allow absolute deconvolution of human immune cell types

G Monaco, B Lee, W Xu, S Mustafah, YY Hwang… - Cell reports, 2019 - cell.com
The molecular characterization of immune subsets is important for designing effective
strategies to understand and treat diseases. We characterized 29 immune cell types within …