Similar articles for PMID: 24723850

Year	Number of Results
2009	1
2011	3
2012	6
2013	6
2014	5
2015	8
2016	8
2017	8
2018	20
2019	17
2020	12
2021	9
2022	4
2023	1
2024	0

1

Emerging bioinformatics approaches for analysis of NGS-derived coding and non-coding RNAs in neurodegenerative diseases.

Guffanti A, Simchovitz A, Soreq H. Guffanti A, et al. Front Cell Neurosci. 2014 Mar 27;8:89. doi: 10.3389/fncel.2014.00089. eCollection 2014. Front Cell Neurosci. 2014. PMID: 24723850 Free PMC article.

2

A transcriptomic profile of topping responsive non-coding RNAs in tobacco roots (Nicotiana tabacum).

Chen X, Sun S, Liu F, Shen E, Liu L, Ye C, Xiao B, Timko MP, Zhu QH, Fan L, Cao P. Chen X, et al. BMC Genomics. 2019 Nov 14;20(1):856. doi: 10.1186/s12864-019-6236-6. BMC Genomics. 2019. PMID: 31726968 Free PMC article.

3

Computational Approaches for the Analysis of ncRNA through Deep Sequencing Techniques.

Veneziano D, Nigita G, Ferro A. Veneziano D, et al. Front Bioeng Biotechnol. 2015 Jun 3;3:77. doi: 10.3389/fbioe.2015.00077. eCollection 2015. Front Bioeng Biotechnol. 2015. PMID: 26090362 Free PMC article. Review.

4

Comprehensive analysis of the whole coding and non-coding RNA transcriptome expression profiles and construction of the circRNA-lncRNA co-regulated ceRNA network in laryngeal squamous cell carcinoma.

Zhao R, Li FQ, Tian LL, Shang DS, Guo Y, Zhang JR, Liu M. Zhao R, et al. Funct Integr Genomics. 2019 Jan;19(1):109-121. doi: 10.1007/s10142-018-0631-y. Epub 2018 Aug 21. Funct Integr Genomics. 2019. PMID: 30128795

5

Integrative deep sequencing of the mouse lung transcriptome reveals differential expression of diverse classes of small RNAs in response to respiratory virus infection.

Peng X, Gralinski L, Ferris MT, Frieman MB, Thomas MJ, Proll S, Korth MJ, Tisoncik JR, Heise M, Luo S, Schroth GP, Tumpey TM, Li C, Kawaoka Y, Baric RS, Katze MG. Peng X, et al. mBio. 2011 Nov 15;2(6):e00198-11. doi: 10.1128/mBio.00198-11. Print 2011. mBio. 2011. PMID: 22086488 Free PMC article.

6

circlncRNAnet: an integrated web-based resource for mapping functional networks of long or circular forms of noncoding RNAs.

Wu SM, Liu H, Huang PJ, Chang IY, Lee CC, Yang CY, Tsai WS, Tan BC. Wu SM, et al. Gigascience. 2018 Jan 1;7(1):1-10. doi: 10.1093/gigascience/gix118. Gigascience. 2018. PMID: 29194536 Free PMC article.

7

Non-Coding RNAs and their Integrated Networks.

Zhang P, Wu W, Chen Q, Chen M. Zhang P, et al. J Integr Bioinform. 2019 Jul 13;16(3):20190027. doi: 10.1515/jib-2019-0027. J Integr Bioinform. 2019. PMID: 31301674 Free PMC article. Review.

8

Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs.

Asim MN, Ibrahim MA, Imran Malik M, Dengel A, Ahmed S. Asim MN, et al. Int J Mol Sci. 2021 Aug 13;22(16):8719. doi: 10.3390/ijms22168719. Int J Mol Sci. 2021. PMID: 34445436 Free PMC article. Review.

9

Integrative transcriptome analysis suggest processing of a subset of long non-coding RNAs to small RNAs.

Jalali S, Jayaraj GG, Scaria V. Jalali S, et al. Biol Direct. 2012 Aug 7;7:25. doi: 10.1186/1745-6150-7-25. Biol Direct. 2012. PMID: 22871084 Free PMC article.

10

Integrated whole transcriptome and DNA methylation analysis identifies gene networks specific to late-onset Alzheimer's disease.

Humphries CE, Kohli MA, Nathanson L, Whitehead P, Beecham G, Martin E, Mash DC, Pericak-Vance MA, Gilbert J. Humphries CE, et al. J Alzheimers Dis. 2015;44(3):977-87. doi: 10.3233/JAD-141989. J Alzheimers Dis. 2015. PMID: 25380588

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