Aug 17, 2020 · By collecting and comparing transcriptomes of different types of cells, researchers can gain a deeper understanding of what constitutes a specific cell type, how that type of cell …

The transcriptome is the set of all RNA molecules (transcripts) in a cell or a population of cells. It includes all of the functional RNA molecules and all other transcripts that may arise by …

Summary: This Primer gives an overview of the considerations required when planning and conducting transcriptome profiling experiments, from sample isolation to data analysis and …

May 1, 2024 · Here, we present a brief but broad guideline for transcriptome analysis, focusing on RNA sequencing, by providing the list of publicly available datasets, tools, and R packages for …

2 days ago · Data generation and quality control: Reference-quality WES and RNA-seq methods Our optimized methodology is designed to deliver high-quality whole-exome and transcriptome …

Bioinformatics analyses applied to transcriptomic data enable the identification of differentially expressed genes (DEG), elucidate gene regulatory networks, and track changes in the …

Transcriptome databases are essential tools for researchers working in the fields of genomics, transcriptomics, and molecular biology. These databases provide comprehensive information …

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes.

Jul 25, 2025 · The transcriptome represents the entire collection of RNA molecules present within a cell or tissue at a given time. Unlike the genome, which is the static blueprint of an …

We outline a computational workflow that includes quality control, trimming of reads, read alignment to the genome, and gene quantification, ultimately enabling researchers to identify …