Mapping and quantifying mammalian transcriptomes by RNA-Seq

Keywords

ExonspliceBiologyGeneRNATranscriptomeRNA-SeqGeneticsGene expressionAlternative splicingRNA splicingComputational biologymicroRNA

Affiliated Institutions

California Institute of Technology US

Related Publications

Predictive Identification of Exonic Splicing Enhancers in Human Genes

William G. Fairbrother , Ru‐Fang Yeh , Phillip A. Sharp +1 more

Specific short oligonucleotide sequences that enhance pre-mRNA splicing when present in exons, termed exonic splicing enhancers (ESEs), play important roles in constitutive and ...

2002 Science 1034 citations

EMSAR: estimation of transcript abundance from RNA-seq data by mappability-based segmentation and reclustering

Soohyun Lee , Chae Hwa Seo , B. Alver +2 more

EMSAR is a method for quantifying transcripts from RNA-seq data with high accuracy and low computational cost. EMSAR is available at https://github.com/parklab/emsar.

2015 BMC Bioinformatics 19 citations

Large-scale analysis of the human and mouse transcriptomes

Andrew I. Su , M. Cooke , Keith A. Ching +11 more

High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority ...

2002 Proceedings of the National Academy o... 1481 citations

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

John C. Marioni , Christopher E. Mason , Shrikant Mane +2 more

Ultra-high-throughput sequencing is emerging as an attractive alternative to microarrays for genotyping, analysis of methylation patterns, and identification of transcription fa...

2008 Genome Research 2809 citations

U1 snRNP regulates cancer cell migration and invasion in vitro

Jung‐Min Oh , Christopher C. Venters , Chao Di +8 more

Abstract Stimulated cells and cancer cells have widespread shortening of mRNA 3’-untranslated regions (3’UTRs) and switches to shorter mRNA isoforms due to usage of more proxima...

2020 Nature Communications 7100 citations

Publication Info

Year: 2008
Type: article
Volume: 5
Issue: 7
Pages: 621-628
Citations: 13932
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Mapping and quantifying mammalian transcriptomes by RNA-Seq

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

13932

OpenAlex

Cite This

APA Style

                            
                                
                                    A Mortazavi, 
                                
                                    Brian A. Williams, 
                                
                                    Kenneth McCue
                                
                                et al.
                            
                            (2008). 
                            Mapping and quantifying mammalian transcriptomes by RNA-Seq. 
                            Nature Methods
                            , 5
                            (7)
                            , 621-628.
                            https://doi.org/10.1038/nmeth.1226
                        

Identifiers

DOI: 10.1038/nmeth.1226