Literature DB >> 17786447

Computational methods in noncoding RNA research.

Ariane Machado-Lima1, Hernando A del Portillo, Alan Mitchell Durham.   

Abstract

Non protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed that other families are still to be unveiled. Computational methods developed for protein coding genes often fail when searching for ncRNAs. Noncoding RNAs functionality is often heavily dependent on their secondary structure, which makes gene discovery very different from protein coding RNA genes. This motivated the development of specific methods for ncRNA research. This article reviews the main approaches used to identify ncRNAs and predict secondary structure.

Mesh:

Substances:

Year:  2007        PMID: 17786447     DOI: 10.1007/s00285-007-0122-6

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  144 in total

1.  Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs.

Authors:  E Rivas; S R Eddy
Journal:  Bioinformatics       Date:  2000-07       Impact factor: 6.937

2.  Discovering common stem-loop motifs in unaligned RNA sequences.

Authors:  J Gorodkin; S L Stricklin; G D Stormo
Journal:  Nucleic Acids Res       Date:  2001-05-15       Impact factor: 16.971

3.  Small subunit ribosomal RNA modeling using stochastic context-free grammars.

Authors:  M P Brown
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  2000

4.  A novel method for finding tRNA genes.

Authors:  Vickie Tsui; Tom Macke; David A Case
Journal:  RNA       Date:  2003-05       Impact factor: 4.942

Review 5.  The language of genes.

Authors:  David B Searls
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

Review 6.  Non-coding RNAs: hope or hype?

Authors:  Alexander Hüttenhofer; Peter Schattner; Norbert Polacek
Journal:  Trends Genet       Date:  2005-05       Impact factor: 11.639

7.  Hidden Markov models in computational biology. Applications to protein modeling.

Authors:  A Krogh; M Brown; I S Mian; K Sjölander; D Haussler
Journal:  J Mol Biol       Date:  1994-02-04       Impact factor: 5.469

8.  Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints.

Authors:  Robin D Dowell; Sean R Eddy
Journal:  BMC Bioinformatics       Date:  2006-09-04       Impact factor: 3.169

9.  snoSeeker: an advanced computational package for screening of guide and orphan snoRNA genes in the human genome.

Authors:  Jian-Hua Yang; Xiao-Chen Zhang; Zhan-Peng Huang; Hui Zhou; Mian-Bo Huang; Shu Zhang; Yue-Qin Chen; Liang-Hu Qu
Journal:  Nucleic Acids Res       Date:  2006-09-20       Impact factor: 16.971

10.  Identification and analysis of ribonuclease P and MRP RNA in a broad range of eukaryotes.

Authors:  Paul Piccinelli; Magnus Alm Rosenblad; Tore Samuelsson
Journal:  Nucleic Acids Res       Date:  2005-08-08       Impact factor: 16.971

View more
  21 in total

1.  A Method to Predict the 3D Structure of an RNA Scaffold.

Authors:  Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2015

Review 2.  Regulatory RNAs: charming gene management styles for synthetic biology applications.

Authors:  Jorge Vazquez-Anderson; Lydia M Contreras
Journal:  RNA Biol       Date:  2013-11-18       Impact factor: 4.652

Review 3.  Non-coding RNA in apicomplexan parasites.

Authors:  Mariana Matrajt
Journal:  Mol Biochem Parasitol       Date:  2010-06-08       Impact factor: 1.759

4.  CPPred: coding potential prediction based on the global description of RNA sequence.

Authors:  Xiaoxue Tong; Shiyong Liu
Journal:  Nucleic Acids Res       Date:  2019-05-07       Impact factor: 16.971

Review 5.  Computational approaches to 3D modeling of RNA.

Authors:  Christian Laing; Tamar Schlick
Journal:  J Phys Condens Matter       Date:  2010-06-15       Impact factor: 2.333

6.  Non-coding RNA detection methods combined to improve usability, reproducibility and precision.

Authors:  Peter Raasch; Ulf Schmitz; Nadja Patenge; Julio Vera; Bernd Kreikemeyer; Olaf Wolkenhauer
Journal:  BMC Bioinformatics       Date:  2010-09-29       Impact factor: 3.169

7.  Predicting RNA Structure with Vfold.

Authors:  Chenhan Zhao; Xiaojun Xu; Shi-Jie Chen
Journal:  Methods Mol Biol       Date:  2017

8.  Small RNAs in the genus Clostridium.

Authors:  Yili Chen; Dinesh C Indurthi; Shawn W Jones; Eleftherios T Papoutsakis
Journal:  mBio       Date:  2011-01-25       Impact factor: 7.867

9.  A framework for automated enrichment of functionally significant inverted repeats in whole genomes.

Authors:  Cyriac Kandoth; Fikret Ercal; Ronald L Frank
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

10.  Mechanistic Roles of Noncoding RNAs in Lung Cancer Biology and Their Clinical Implications.

Authors:  Katey S S Enfield; Larissa A Pikor; Victor D Martinez; Wan L Lam
Journal:  Genet Res Int       Date:  2012-07-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.