BMC Bioinformatics

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Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change

Andrew V Uzilov, Joshua M Keegan and David H Mathews*

BMC Bioinformatics 2006, 7:173 doi:10.1186/1471-2105-7-173

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BioMed Central: 11 citations

Research   Open Access

Stable stem enabled Shannon entropies distinguish non-coding RNAs from random backgrounds

Yingfeng Wang, Amir Manzour, Pooya Shareghi, Timothy I Shaw, Ying-Wai Li, Russell L Malmberg, Liming Cai BMC Bioinformatics 2012, 13(Suppl 5):S1 (12 April 2012)

Software   Open Access Highly Accessed

RNAstructure: software for RNA secondary structure prediction and analysis

Jessica S Reuter, David H Mathews BMC Bioinformatics 2010, 11:129 (15 March 2010)

Research article   Open Access

An efficient genetic algorithm for structural RNA pairwise alignment and its application to non-coding RNA discovery in yeast

Akito Taneda BMC Bioinformatics 2008, 9:521 (5 December 2008)

Methodology article   Open Access

Dinucleotide controlled null models for comparative RNA gene prediction

Tanja Gesell, Stefan Washietl BMC Bioinformatics 2008, 9:248 (27 May 2008)

Methodology article   Open Access Highly Accessed

A novel representation of RNA secondary structure based on element-contact graphs

Wenjie Shu, Xiaochen Bo, Zhiqiang Zheng, Shengqi Wang BMC Bioinformatics 2008, 9:188 (11 April 2008)

Research article   Open Access Highly Accessed

Strategies for measuring evolutionary conservation of RNA secondary structures

Andreas R Gruber, Stephan H Bernhart, Ivo L Hofacker, Stefan Washietl BMC Bioinformatics 2008, 9:122 (26 February 2008)

Simple metrics of folding energy and optimal structures accurately measure evolutionary conservation of RNA secondary structure and should form the basis of tools to predict non-coding RNAs, whereas complex methods fail to improve performance.

Research article   Open Access

Identification of chromosomal alpha-proteobacterial small RNAs by comparative genome analysis and detection in Sinorhizobium meliloti strain 1021

Vincent M Ulvé, Emeric W Sevin, Angélique Chéron, Frédérique Barloy-Hubler BMC Genomics 2007, 8:467 (19 December 2007)

Methodology article   Open Access

Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign

Arif Harmanci, Gaurav Sharma, David H Mathews BMC Bioinformatics 2007, 8:130 (19 April 2007)

Research article   Open Access Highly Accessed

Considerations in the identification of functional RNA structural elements in genomic alignments

Tomas Babak, Benjamin J Blencowe, Timothy R Hughes BMC Bioinformatics 2007, 8:33 (30 January 2007)

Search tools perform poorly at finding noncoding RNAs on a test set of known ncRNAs for which the sequences are randomly shuffled, although a combination of conservation and thermodynamic stability has promise for ncRNA detection.

Methodology article   Open Access Highly Accessed

Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints

Robin D Dowell, Sean R Eddy BMC Bioinformatics 2006, 7:400 (4 September 2006)

When predicting RNA secondary structure, constraining the Sankoff folding and alignment algorithm by using confidently aligned positions, or pins, speeds up the algorithm and lowers memory requirements without harming performance.