Next-generation sequencing technology: current trends and advancements
H Satam, K Joshi, U Mangrolia, S Waghoo, G Zaidi… - Biology, 2023 - mdpi.com
Simple Summary Next-generation sequencing (NGS) is a powerful tool used in genomics
research. NGS can sequence millions of DNA fragments at once, providing detailed …
research. NGS can sequence millions of DNA fragments at once, providing detailed …
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
In comparative high-throughput sequencing assays, a fundamental task is the analysis of
count data, such as read counts per gene in RNA-seq, for evidence of systematic changes …
count data, such as read counts per gene in RNA-seq, for evidence of systematic changes …
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Motivation: Next-generation sequencing technologies generate millions of short sequence
reads, which are usually aligned to a reference genome. In many applications, the key …
reads, which are usually aligned to a reference genome. In many applications, the key …
Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase
Abstract The methyltransferase like 3 (METTL3)-containing methyltransferase complex
catalyzes the N6-methyladenosine (m6A) formation, a novel epitranscriptomic marker; …
catalyzes the N6-methyladenosine (m6A) formation, a novel epitranscriptomic marker; …
Detecting differential usage of exons from RNA-seq data
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative
isoform expression. Understanding the regulation of these processes requires sensitive and …
isoform expression. Understanding the regulation of these processes requires sensitive and …
Differential expression in RNA-seq: a matter of depth
Next-generation sequencing (NGS) technologies are revolutionizing genome research, and
in particular, their application to transcriptomics (RNA-seq) is increasingly being used for …
in particular, their application to transcriptomics (RNA-seq) is increasingly being used for …
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
N Leng, JA Dawson, JA Thomson, V Ruotti… - …, 2013 - academic.oup.com
Motivation: Messenger RNA expression is important in normal development and
differentiation, as well as in manifestation of disease. RNA-seq experiments allow for the …
differentiation, as well as in manifestation of disease. RNA-seq experiments allow for the …
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
A large number of computational methods have been developed for analyzing differential
gene expression in RNA-seq data. We describe a comprehensive evaluation of common …
gene expression in RNA-seq data. We describe a comprehensive evaluation of common …
ngs. plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases
Background Understanding the relationship between the millions of functional DNA
elements and their protein regulators, and how they work in conjunction to manifest diverse …
elements and their protein regulators, and how they work in conjunction to manifest diverse …
Detection of a Recurrent DNAJB1-PRKACA Chimeric Transcript in Fibrolamellar Hepatocellular Carcinoma
Fibrolamellar hepatocellular carcinoma (FL-HCC) is a rare liver tumor affecting adolescents
and young adults with no history of primary liver disease or cirrhosis. We identified a …
and young adults with no history of primary liver disease or cirrhosis. We identified a …