A multispecies polyadenylation site model-Reference-Cited by-同舟云学术

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A multispecies polyadenylation site model

Published:2013-01 Issue:S2 Volume:14 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Ho Eric S,Gunderson Samuel I,Duffy Siobain

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-14-S2-S9.pdf

Reference39 articles.

1. Edmonds M, Abrams R: Polynucleotide biosynthesis: Formation of a sequence of adenylate units from adenosine triphosphate by an enzyme form thymus nuclei. J Biol Chem. 1960, 235: 1142-1148. SRC - GoogleScholar

2. Nakazato H, Venkatesan S, Edmonds M: Polyadenylic acid sequences in E. coli messenger RNA. Nature. 1975, 256 (5513): 144-146. 10.1038/256144a0.

3. Srinivasan PR, Ramanarayanan M, Rabbani E: Presence of polyriboadenylate sequences in pulse-labeled RNA of Escherichia coli. Proceedings of the National Academy of Sciences of the United States of America. 1975, 72 (8): 2910-2914. 10.1073/pnas.72.8.2910.

4. Portnoy V, Evguenieva-Hackenberg E, Klein F, Walter P, Lorentzen E, Klug G, Schuster G: RNA polyadenylation in Archaea: not observed in Haloferax while the exosome polynucleotidylates RNA in Sulfolobus. EMBO reports. 2005, 6 (12): 1188-1193. 10.1038/sj.embor.7400571.

5. Portnoy V, Schuster G: RNA polyadenylation and degradation in different Archaea; roles of the exosome and RNase R. Nucleic acids research. 2006, 34 (20): 5923-5931. 10.1093/nar/gkl763.

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1. Inference of the human polyadenylation code;Bioinformatics;2018-04-10

2. Whole transcriptome analysis with sequencing: methods, challenges and potential solutions;Cellular and Molecular Life Sciences;2015-05-28

3. Genome-wide identification and predictive modeling of polyadenylation sites in eukaryotes;Briefings in Bioinformatics;2014-04-01

4. Machine Learning-Based Approaches Identify a Key Physicochemical Property for Accurately Predicting Polyadenlylation Signals in Genomic Sequences;Intelligent Computing Theories and Technology;2013

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