IncRna: The R Package for Optimizing lncRNA Identification Processes-Reference-Cited by-同舟云学术

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IncRna: The R Package for Optimizing lncRNA Identification Processes

Published:2023-12-01 Issue:12 Volume:30 Page:1322-1326
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Jastrzebski Jan Pawel¹^ORCID,Pascarella Stefano²,Lipka Aleksandra³^ORCID,Dorocki Slawomir⁴

Affiliation:

1. Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.

2. Department of Biochemical Sciences “A. Rossi Fanelli” Sapienza University of Rome, Rome, Italy.

3. Institute of Oral Biology, Faculty of Dentistry University of Oslo, Oslo, Norway.

4. Pedagogical University of Cracow, Cracow, Poland.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2023.0091

Reference27 articles.

1. Beyond the RNA-dependent function of LncRNA genes

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

3. The product of the H19 gene may function as an RNA

4. LNCcation: lncRNA localization and function

5. The product of the mouse Xist gene is a 15 kb inactive X-specific transcript containing no conserved ORF and located in the nucleus

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