[HTML][HTML] A scalable strand-specific protocol enabling full-length total RNA sequencing from single cells
S Haile, RD Corbett, VG LeBlanc, L Wei… - Frontiers in …, 2021 - frontiersin.org
RNA sequencing (RNAseq) has been widely used to generate bulk gene expression
measurements collected from pools of cells. Only relatively recently have single-cell …
measurements collected from pools of cells. Only relatively recently have single-cell …
An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data
H Matsumoto, T Hayashi, H Ozaki… - NAR Genomics and …, 2020 - academic.oup.com
Single-cell RNA sequencing has enabled researchers to quantify the transcriptomes of
individual cells, infer cell types and investigate differential expression among cell types …
individual cells, infer cell types and investigate differential expression among cell types …
[PDF][PDF] Quantifying variability in gene expression profiles using transcriptome and isoform diversity
Following the central dogma of molecular biology, gene expression variability can aid in
predicting and explaining the wide variety of protein products, functions, and, ultimately …
predicting and explaining the wide variety of protein products, functions, and, ultimately …
Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data
J Wang, L Yuan - Current Bioinformatics, 2024 - ingentaconnect.com
Background: The advent of single-cell RNA sequencing (scRNA-seq) technology has
offered unprecedented opportunities to unravel cellular heterogeneity and functions. Yet …
offered unprecedented opportunities to unravel cellular heterogeneity and functions. Yet …
[图书][B] Integrative Omics Data Analysis to Discover Novel Signatures in Complex Diseases
L Pan - 2023 - search.proquest.com
Apart from diseases caused by the defect of a single gene, most diseases are highly
complex and are usually caused by a combination of biological and environmental factors …
complex and are usually caused by a combination of biological and environmental factors …
[HTML][HTML] scAPAmod: Profiling Alternative Polyadenylation Modalities in Single Cells from Single-Cell RNA-Seq Data
L Qian, H Fu, Y Mou, W Lin, L Ye, G Ji - International Journal of Molecular …, 2022 - mdpi.com
Alternative polyadenylation (APA) is a key layer of gene expression regulation, and APA
choice is finely modulated in cells. Advances in single-cell RNA-seq (scRNA-seq) have …
choice is finely modulated in cells. Advances in single-cell RNA-seq (scRNA-seq) have …
Transcriptomic Analysis of Healthy Skeletal Muscle to Identify Modulators of Differential Skeletal Muscle Susceptibility in Duchenne Muscular Dystrophy
SN Rodríguez - 2023 - search.proquest.com
Duchenne muscular dystrophy (DMD) is a progressive muscle disease caused by mutations
in the DMD gene encoding for the structural muscle protein dystrophin. Absence of …
in the DMD gene encoding for the structural muscle protein dystrophin. Absence of …
Integration of hyperspectral imaging and transcriptomics from individual cells with HyperSeq
Microscopy and omics are complementary approaches to probe the molecular state of cells
in health and disease, combining granularity with scalability. While important advances have …
in health and disease, combining granularity with scalability. While important advances have …
[PDF][PDF] Modern computer science approaches in biology: from predicting molecular functions to modeling protein structure
O Narykov - University of Virginia, 2022 - digital.wpi.edu
Computational machines have become an inseparable part of human lives during the last
three decades. One of the crucial enabling technologies of this technological boom is …
three decades. One of the crucial enabling technologies of this technological boom is …
BRACE: A novel Bayesian-based imputation approach for dimension reduction analysis of alternative splicing at single-cell resolution
S Wen - bioRxiv, 2024 - biorxiv.org
Bayesian approach is a powerful tool to solve challenging questions in life sciences. One
such area of life sciences in which Bayesian approach has seen an increased utility in the …
such area of life sciences in which Bayesian approach has seen an increased utility in the …