Recommendations for Bioinformatic Tools in lncRNA Research

Research output: Contribution to journal › Review › Research › peer-review

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Recommendations for Bioinformatic Tools in lncRNA Research. / Distefano, Rebecca; Ilieva, Mirolyuba; Rennie, Sarah; Uchida, Shizuka.

In: Current Bioinformatics, Vol. 19, No. 1, 2024, p. 14-20.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Distefano, R, Ilieva, M, Rennie, S & Uchida, S 2024, 'Recommendations for Bioinformatic Tools in lncRNA Research', Current Bioinformatics, vol. 19, no. 1, pp. 14-20. https://doi.org/10.2174/1574893618666230707103956

APA

Distefano, R., Ilieva, M., Rennie, S., & Uchida, S. (2024). Recommendations for Bioinformatic Tools in lncRNA Research. Current Bioinformatics, 19(1), 14-20. https://doi.org/10.2174/1574893618666230707103956

Vancouver

Distefano R, Ilieva M, Rennie S, Uchida S. Recommendations for Bioinformatic Tools in lncRNA Research. Current Bioinformatics. 2024;19(1):14-20. https://doi.org/10.2174/1574893618666230707103956

Author

Distefano, Rebecca ; Ilieva, Mirolyuba ; Rennie, Sarah ; Uchida, Shizuka. / Recommendations for Bioinformatic Tools in lncRNA Research. In: Current Bioinformatics. 2024 ; Vol. 19, No. 1. pp. 14-20.

Bibtex

@article{1312b6d9ea7747b591baa340fa03537e,

title = "Recommendations for Bioinformatic Tools in lncRNA Research",

abstract = "Long non-coding RNAs (lncRNAs) typically refer to non-protein coding RNAs that are longer than 200 nucleotides. Historically dismissed as junk DNA, over two decades of research have re-vealed that lncRNAs bind to other macromolecules (e.g., DNA, RNA, and/or proteins) to modulate signaling pathways and maintain organism viability. Their discovery has been significantly aided by the development of bioinformatics tools in recent years. However, the diversity of tools for lncRNA discovery and functional prediction can present a challenge for researchers, especially bench scientists and cli-nicians. This Perspective article aims to navigate the current landscape of bioinformatic tools suitable for both protein-coding and lncRNA genes. It aims to provide a guide for bench scientists and clinicians to select the appropriate tools for their research questions and experimental designs.",

keywords = "Bioinformatics, gene expression, lncRNA, RNA-seq, screening, tools",

author = "Rebecca Distefano and Mirolyuba Ilieva and Sarah Rennie and Shizuka Uchida",

note = "Publisher Copyright: {\textcopyright} 2024 Bentham Science Publishers.",

year = "2024",

doi = "10.2174/1574893618666230707103956",

language = "English",

volume = "19",

pages = "14--20",

journal = "Current Bioinformatics",

issn = "1574-8936",

publisher = "Bentham Science Publishers",

number = "1",

}

RIS

TY - JOUR

T1 - Recommendations for Bioinformatic Tools in lncRNA Research

AU - Distefano, Rebecca

AU - Ilieva, Mirolyuba

AU - Rennie, Sarah

AU - Uchida, Shizuka

PY - 2024

Y1 - 2024

N2 - Long non-coding RNAs (lncRNAs) typically refer to non-protein coding RNAs that are longer than 200 nucleotides. Historically dismissed as junk DNA, over two decades of research have re-vealed that lncRNAs bind to other macromolecules (e.g., DNA, RNA, and/or proteins) to modulate signaling pathways and maintain organism viability. Their discovery has been significantly aided by the development of bioinformatics tools in recent years. However, the diversity of tools for lncRNA discovery and functional prediction can present a challenge for researchers, especially bench scientists and cli-nicians. This Perspective article aims to navigate the current landscape of bioinformatic tools suitable for both protein-coding and lncRNA genes. It aims to provide a guide for bench scientists and clinicians to select the appropriate tools for their research questions and experimental designs.

AB - Long non-coding RNAs (lncRNAs) typically refer to non-protein coding RNAs that are longer than 200 nucleotides. Historically dismissed as junk DNA, over two decades of research have re-vealed that lncRNAs bind to other macromolecules (e.g., DNA, RNA, and/or proteins) to modulate signaling pathways and maintain organism viability. Their discovery has been significantly aided by the development of bioinformatics tools in recent years. However, the diversity of tools for lncRNA discovery and functional prediction can present a challenge for researchers, especially bench scientists and cli-nicians. This Perspective article aims to navigate the current landscape of bioinformatic tools suitable for both protein-coding and lncRNA genes. It aims to provide a guide for bench scientists and clinicians to select the appropriate tools for their research questions and experimental designs.

KW - Bioinformatics

KW - gene expression

KW - lncRNA

KW - RNA-seq

KW - screening

KW - tools

U2 - 10.2174/1574893618666230707103956

DO - 10.2174/1574893618666230707103956

M3 - Review

AN - SCOPUS:85185474639

VL - 19

SP - 14

EP - 20

JO - Current Bioinformatics

JF - Current Bioinformatics

SN - 1574-8936

IS - 1

ER -

ID: 384492157

Department of Biology