[PDF][PDF] A simple guide to de novo transcriptome assembly and annotation

V Raghavan, L Kraft, F Mesny… - Briefings in …, 2022 - academic.oup.com
A transcriptome constructed from short-read RNA sequencing (RNA-seq) is an easily
attainable proxy catalog of protein-coding genes when genome assembly is unnecessary …

Quantifying tumor-infiltrating immune cells from transcriptomics data

F Finotello, Z Trajanoski - Cancer Immunology, Immunotherapy, 2018 - Springer
By exerting pro-and anti-tumorigenic actions, tumor-infiltrating immune cells can profoundly
influence tumor progression, as well as the success of anti-cancer therapies. Therefore, the …

Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data

F Finotello, C Mayer, C Plattner, G Laschober… - Genome medicine, 2019 - Springer
We introduce quanTIseq, a method to quantify the fractions of ten immune cell types from
bulk RNA-sequencing data. quanTIseq was extensively validated in blood and tumor …

Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data?

BE Deagle, AC Thomas, JC McInnes… - Molecular …, 2019 - Wiley Online Library
Advances in DNA sequencing technology have revolutionized the field of molecular analysis
of trophic interactions, and it is now possible to recover counts of food DNA sequences from …

Systematic comparison and assessment of RNA-seq procedures for gene expression quantitative analysis

LA Corchete, EA Rojas, D Alonso-López… - Scientific reports, 2020 - nature.com
RNA-seq is currently considered the most powerful, robust and adaptable technique for
measuring gene expression and transcription activation at genome-wide level. As the …

Interpretation of differential gene expression results of RNA-seq data: review and integration

A McDermaid, B Monier, J Zhao, B Liu… - Briefings in …, 2019 - academic.oup.com
Differential gene expression (DGE) analysis is one of the most common applications of RNA-
sequencing (RNA-seq) data. This process allows for the elucidation of differentially …

Whole transcriptome analysis with sequencing: methods, challenges and potential solutions

Z Jiang, X Zhou, R Li, JJ Michal, S Zhang… - Cellular and molecular …, 2015 - Springer
Whole transcriptome analysis plays an essential role in deciphering genome structure and
function, identifying genetic networks underlying cellular, physiological, biochemical and …

EnTAP: Bringing faster and smarter functional annotation to non‐model eukaryotic transcriptomes

AJ Hart, S Ginzburg, M Xu, CR Fisher… - Molecular ecology …, 2020 - Wiley Online Library
Abstract EnTAP (Eukaryotic Non‐Model Transcriptome Annotation Pipeline) was designed
to improve the accuracy, speed, and flexibility of functional gene annotation for de novo …

Recommendations for statistical reporting in cardiovascular medicine: a special report from the American Heart Association

AD Althouse, JE Below, BL Claggett, NJ Cox… - Circulation, 2021 - Am Heart Assoc
Statistical analyses are a crucial component of the biomedical research process and are
necessary to draw inferences from biomedical research data. The application of sound …

Measuring the diversity of the human microbiota with targeted next-generation sequencing

F Finotello, E Mastrorilli… - Briefings in bioinformatics, 2018 - academic.oup.com
The human microbiota is a complex ecological community of commensal, symbiotic and
pathogenic microorganisms harboured by the human body. Next-generation sequencing …