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RNA sequencing: the teenage years
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 …
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 …
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
When identifying differentially expressed genes between two conditions using human
population RNA-seq samples, we found a phenomenon by permutation analysis: two …
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
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 …
(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
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 …
primarily investigated in locally advanced or metastatic cancer,–; however, much less is …
Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data
MicrobiomeAnalyst is an easy-to-use, web-based platform for comprehensive analysis of
common data outputs generated from current microbiome studies. It enables researchers …
common data outputs generated from current microbiome studies. It enables researchers …
Benchmarking of cell type deconvolution pipelines for transcriptomics data
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 …
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
Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists
generated from genome-scale (omics) experiments. This method identifies biological …
generated from genome-scale (omics) experiments. This method identifies biological …
Trajectory-based differential expression analysis for single-cell sequencing data
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 …
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
The molecular characterization of immune subsets is important for designing effective
strategies to understand and treat diseases. We characterized 29 immune cell types within …
strategies to understand and treat diseases. We characterized 29 immune cell types within …