ArticleBriefings in bioinformatics2015
Alternative applications for distinct RNA sequencing strategies.
Article in Briefings in bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed.
- Design of a low-density SNP panel for intramuscular fat content and fatty acid composition of backfat in free-range Iberian pigs.Journal of animal science · 2023Article
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- Screening of Variants in the Transcript Profile of Eutopic Endometrium from Infertile Women with Endometriosis during the Implantation Window.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2021Article
- Noncoding RNAs in Papillary Thyroid Cancer: Interaction with Cancer-Associated Fibroblasts (CAFs) in the Tumor Microenvironment (TME) and Regulators of Differentiation and Lymph Node Metastasis.Advances in experimental medicine and biology · 2021Article
- Alternative Applications of Genotyping Array Data Using Multivariant Methods.Trends in genetics : TIG · 2020Review
- Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease.BioMed research international · 2020Article
- GeTallele: A Method for Analysis of DNA and RNA Allele Frequency Distributions.Frontiers in bioengineering and biotechnology · 2020Article
- Strategies for processing and quality control of Illumina genotyping arrays.Briefings in bioinformatics · 2018Article
- Article
- The discrepancy among single nucleotide variants detected by DNA and RNA high throughput sequencing data.BMC genomics · 2017Article
- Multi-perspective quality control of Illumina RNA sequencing data analysis.Briefings in functional genomics · 2017Article
- Comprehensive evaluation of extracellular small RNA isolation methods from serum in high throughput sequencing.BMC genomics · 2017Article
- The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies.International journal of genomics · 2017Review
- Article
- Genomic and transcriptomic profiling of resistant CEM/ADR-5000 and sensitive CCRF-CEM leukaemia cells for unravelling the full complexity of multi-factorial multidrug resistance.Scientific reports · 2016Article
- A micro-RNA expression signature for human NAFLD progression.Journal of gastroenterology · 2016Article
- Practicability of detecting somatic point mutation from RNA high throughput sequencing data.Genomics · 2016Article
- Mitochondria single nucleotide variation across six blood cell types.Mitochondrion · 2016Article
- Mitochondria sequence mapping strategies and practicability of mitochondria variant detection from exome and RNA sequencing data.Briefings in bioinformatics · 2016Article
- RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining.International journal of genomics · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Recent advances in RNA library preparation methods, platform accessibility and cost efficiency have allowed high-throughput RNA sequencing (RNAseq) to replace conventional hybridization microarray platforms as the method of choice for mRNA profiling and transcriptome analyses. RNAseq is a powerful technique to profile both long and short RNA expression, and the depth of information gained from distinct RNAseq methods is striking and facilitates discovery. In addition to expression analysis, distinct RNAseq approaches also allow investigators the ability to assess transcriptional elongation, DNA variance and exogenous RNA content. Here we review the current state of the art in transcriptome sequencing and address epigenetic regulation, quantification of transcription activation, RNAseq output and a diverse set of applications for RNAseq data. We detail how RNAseq can be used to identify allele-specific expression, single-nucleotide polymorphisms and somatic mutations and discuss the benefits and limitations of using RNAseq to monitor DNA characteristics. Moreover, we highlight the power of combining RNA- and DNAseq methods for genomic analysis. In summary, RNAseq provides the opportunity to gain greater insight into transcriptional regulation and output than simply miRNA and mRNA profiling.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.