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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1973 1
1976 3
1977 4
1978 10
1979 10
1980 7
1981 2
1982 6
1983 5
1984 15
1985 3
1986 10
1987 8
1988 14
1989 21
1990 28
1991 18
1992 11
1993 13
1994 12
1995 15
1996 11
1997 12
1998 7
1999 5
2000 3
2001 8
2002 5
2003 5
2004 3
2005 2
2006 6
2007 5
2008 17
2009 60
2010 227
2011 493
2012 904
2013 1676
2014 2631
2015 3676
2016 4691
2017 5980
2018 7546
2019 10096
2020 13461
2021 16769
2022 18485
2023 19718
2024 7576

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103,895 results

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Page 1
RNA sequencing: the teenage years.
Stark R, Grzelak M, Hadfield J. Stark R, et al. Nat Rev Genet. 2019 Nov;20(11):631-656. doi: 10.1038/s41576-019-0150-2. Epub 2019 Jul 24. Nat Rev Genet. 2019. PMID: 31341269 Review.
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so t …
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis …
Transcriptome Sequencing: RNA-Seq.
Zhang H, He L, Cai L. Zhang H, et al. Methods Mol Biol. 2018;1754:15-27. doi: 10.1007/978-1-4939-7717-8_2. Methods Mol Biol. 2018. PMID: 29536435
RNA sequencing (RNA-seq) can not only be used to identify the expression of common or rare transcripts but also in the identification of other abnormal events, such as alternative splicing, novel transcripts, and fusion genes. In principle, RNA- …
RNA sequencing (RNA-seq) can not only be used to identify the expression of common or rare transcripts but also …
A Beginner's Guide to Analysis of RNA Sequencing Data.
Koch CM, Chiu SF, Akbarpour M, Bharat A, Ridge KM, Bartom ET, Winter DR. Koch CM, et al. Am J Respir Cell Mol Biol. 2018 Aug;59(2):145-157. doi: 10.1165/rcmb.2017-0430TR. Am J Respir Cell Mol Biol. 2018. PMID: 29624415 Free PMC article.
Since the first publications coining the term RNA-seq (RNA sequencing) appeared in 2008, the number of publications containing RNA-seq data has grown exponentially, hitting an all-time high of 2,808 publications in 2016 (PubMed). ...Our g …
Since the first publications coining the term RNA-seq (RNA sequencing) appeared in 2008, the number of publicati …
RNA-Seq Experiment and Data Analysis.
Withanage MHH, Liang H, Zeng E. Withanage MHH, et al. Methods Mol Biol. 2022;2418:405-424. doi: 10.1007/978-1-0716-1920-9_22. Methods Mol Biol. 2022. PMID: 35119677
With the ability to obtain several millions of reads per sample, high-throughput RNA sequencing (RNA-Seq) enables investigation of any transcriptome at a fine resolution. ...In this chapter, we describe a protocol to construct an RNA-Seq …
With the ability to obtain several millions of reads per sample, high-throughput RNA sequencing (RNA-Seq) enable …
RNA Sequencing and Analysis.
Kukurba KR, Montgomery SB. Kukurba KR, et al. Cold Spring Harb Protoc. 2015 Apr 13;2015(11):951-69. doi: 10.1101/pdb.top084970. Cold Spring Harb Protoc. 2015. PMID: 25870306 Free PMC article.
RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the transcriptome of a cell. ...This article provides an introduction to RNA-Seq methods, including applications, experimental de …
RNA sequencing (RNA-Seq) uses the capabilities of high-throughput sequencing methods to provide insight into the …
Processing and Analysis of RNA-seq Data from Public Resources.
Zoabi Y, Shomron N. Zoabi Y, et al. Methods Mol Biol. 2021;2243:81-94. doi: 10.1007/978-1-0716-1103-6_4. Methods Mol Biol. 2021. PMID: 33606253 Review.
Advances in next generation sequencing (NGS) technologies resulted in a broad array of large-scale gene expression studies and an unprecedented volume of whole messenger RNA (mRNA) sequencing data, or the transcriptome (also known as RNA sequencing, or RNA- …
Advances in next generation sequencing (NGS) technologies resulted in a broad array of large-scale gene expression studies and an unpreceden …
RNA sequencing: advances, challenges and opportunities.
Ozsolak F, Milos PM. Ozsolak F, et al. Nat Rev Genet. 2011 Feb;12(2):87-98. doi: 10.1038/nrg2934. Epub 2010 Dec 30. Nat Rev Genet. 2011. PMID: 21191423 Free PMC article. Review.
Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. ...Ongoing developments promise further advances in the application of RNA-seq, particularly direct RNA sequencing …
Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. ... …
Introduction to Single-Cell RNA Sequencing.
Olsen TK, Baryawno N. Olsen TK, et al. Curr Protoc Mol Biol. 2018 Apr;122(1):e57. doi: 10.1002/cpmb.57. Curr Protoc Mol Biol. 2018. PMID: 29851283
The opportunity to study entire transcriptomes in great detail using RNA sequencing (RNA-seq) has fueled many important discoveries and is now a routine method in biomedical research. ...Single-cell RNA-seq (scRNA-seq) represents an appro …
The opportunity to study entire transcriptomes in great detail using RNA sequencing (RNA-seq) has fueled many im …
Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung Adenocarcinoma.
Jiang A, Wang J, Liu N, Zheng X, Li Y, Ma Y, Zheng H, Chen X, Fan C, Zhang R, Fu X, Yao Y. Jiang A, et al. Front Genet. 2022 Jan 27;13:833797. doi: 10.3389/fgene.2022.833797. eCollection 2022. Front Genet. 2022. PMID: 35154287 Free PMC article.
Background: Lung adenocarcinoma (LUAD) remains a lethal disease worldwide, with numerous studies exploring its potential prognostic markers using traditional RNA sequencing (RNA-seq) data. However, it cannot detect the exact cellular and molecular chan …
Background: Lung adenocarcinoma (LUAD) remains a lethal disease worldwide, with numerous studies exploring its potential prognostic markers …
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2.
Liu S, Wang Z, Zhu R, Wang F, Cheng Y, Liu Y. Liu S, et al. J Vis Exp. 2021 Sep 18;(175). doi: 10.3791/62528. J Vis Exp. 2021. PMID: 34605806
RNA sequencing (RNA-seq) is one of the most widely used technologies in transcriptomics as it can reveal the relationship between the genetic alteration and complex biological processes and has great value in diagnostics, prognostics, and therapeutics …
RNA sequencing (RNA-seq) is one of the most widely used technologies in transcriptomics as it can reveal the rel …
103,895 results
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