Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures.

Abstract:

BACKGROUND:Clustering of unannotated transcripts is an important task to identify novel families of noncoding RNAs (ncRNAs). Several hierarchical clustering methods have been developed using similarity measures based on the scores of structural alignment. However, the high computational cost of exact structural alignment requires these methods to employ approximate algorithms. Such heuristics degrade the quality of clustering results, especially when the similarity among family members is not detectable at the primary sequence level. RESULTS:We describe a new similarity measure for the hierarchical clustering of ncRNAs. The idea is that the reliability of approximate algorithms can be improved by utilizing the information of suboptimal solutions in their dynamic programming frameworks. We approximate structural alignment in a more simplified manner than the existing methods. Instead, our method utilizes all possible sequence alignments and all possible secondary structures, whereas the existing methods only use one optimal sequence alignment and one optimal secondary structure. We demonstrate that this strategy can achieve the best balance between the computational cost and the quality of the clustering. In particular, our method can keep its high performance even when the sequence identity of family members is less than 60%. CONCLUSIONS:Our method enables fast and accurate clustering of ncRNAs. The software is available for download at http://bpla-kernel.dna.bio.keio.ac.jp/clustering/.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Saito Y,Sato K,Sakakibara Y

doi

10.1186/1471-2105-12-S1-S48

subject

Has Abstract

pub_date

2011-02-15 00:00:00

pages

S48

issn

1471-2105

pii

1471-2105-12-S1-S48

journal_volume

12 Suppl 1

pub_type

杂志文章
  • NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data.

    abstract:BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2207-1

    authors: Fang L,Hu J,Wang D,Wang K

    更新日期:2018-05-23 00:00:00

  • A multiple-alignment based primer design algorithm for genetically highly variable DNA targets.

    abstract:BACKGROUND:Primer design for highly variable DNA sequences is difficult, and experimental success requires attention to many interacting constraints. The advent of next-generation sequencing methods allows the investigation of rare variants otherwise hidden deep in large populations, but requires attention to populatio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-255

    authors: Brodin J,Krishnamoorthy M,Athreya G,Fischer W,Hraber P,Gleasner C,Green L,Korber B,Leitner T

    更新日期:2013-08-21 00:00:00

  • KRLMM: an adaptive genotype calling method for common and low frequency variants.

    abstract:BACKGROUND:SNP genotyping microarrays have revolutionized the study of complex disease. The current range of commercially available genotyping products contain extensive catalogues of low frequency and rare variants. Existing SNP calling algorithms have difficulty dealing with these low frequency variants, as the under...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-158

    authors: Liu R,Dai Z,Yeager M,Irizarry RA,Ritchie ME

    更新日期:2014-05-23 00:00:00

  • Efficient prediction of human protein-protein interactions at a global scale.

    abstract:BACKGROUND:Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. RESULTS:On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0383-1

    authors: Schoenrock A,Samanfar B,Pitre S,Hooshyar M,Jin K,Phillips CA,Wang H,Phanse S,Omidi K,Gui Y,Alamgir M,Wong A,Barrenäs F,Babu M,Benson M,Langston MA,Green JR,Dehne F,Golshani A

    更新日期:2014-12-10 00:00:00

  • Robust joint analysis allowing for model uncertainty in two-stage genetic association studies.

    abstract:BACKGROUND:The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-9

    authors: Pan D,Li Q,Jiang N,Liu A,Yu K

    更新日期:2011-01-07 00:00:00

  • A novel similarity-measure for the analysis of genetic data in complex phenotypes.

    abstract:BACKGROUND:Recent technological advances in DNA sequencing and genotyping have led to the accumulation of a remarkable quantity of data on genetic polymorphisms. However, the development of new statistical and computational tools for effective processing of these data has not been equally as fast. In particular, Machin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S6-S24

    authors: Lagani V,Montesanto A,Di Cianni F,Moreno V,Landi S,Conforti D,Rose G,Passarino G

    更新日期:2009-06-16 00:00:00

  • LSX: automated reduction of gene-specific lineage evolutionary rate heterogeneity for multi-gene phylogeny inference.

    abstract:BACKGROUND:Lineage rate heterogeneity can be a major source of bias, especially in multi-gene phylogeny inference. We had previously tackled this issue by developing LS3, a data subselection algorithm that, by removing fast-evolving sequences in a gene-specific manner, identifies subsets of sequences that evolve at a r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3020-1

    authors: Rivera-Rivera CJ,Montoya-Burgos JI

    更新日期:2019-08-13 00:00:00

  • Bayesian mixture regression analysis for regulation of Pluripotency in ES cells.

    abstract:BACKGROUND:Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed levels of gene expression, r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3331-2

    authors: Aflakparast M,Geeven G,de Gunst MCM

    更新日期:2020-01-02 00:00:00

  • ModuleOrganizer: detecting modules in families of transposable elements.

    abstract:BACKGROUND:Most known eukaryotic genomes contain mobile copied elements called transposable elements. In some species, these elements account for the majority of the genome sequence. They have been subject to many mutations and other genomic events (copies, deletions, captures) during transposition. The identification ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-474

    authors: Tempel S,Rousseau C,Tahi F,Nicolas J

    更新日期:2010-09-22 00:00:00

  • Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images.

    abstract:BACKGROUND:Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e., spun coat, large microfiber, and medium microfiber). Our analysis of the acquired terabyte-sized c...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1928-x

    authors: Bajcsy P,Yoon S,Florczyk SJ,Hotaling NA,Simon M,Szczypinski PM,Schaub NJ,Simon CG Jr,Brady M,Sriram RD

    更新日期:2017-11-28 00:00:00

  • A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE).

    abstract:BACKGROUND:An organism's protein interactome, or complete network of protein-protein interactions, defines the protein complexes that drive cellular processes. Techniques for studying protein complexes have traditionally applied targeted strategies such as yeast two-hybrid or affinity purification-mass spectrometry to ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1865-8

    authors: Stacey RG,Skinnider MA,Scott NE,Foster LJ

    更新日期:2017-10-23 00:00:00

  • Bayesian detection of periodic mRNA time profiles without use of training examples.

    abstract:BACKGROUND:Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for identifying genes regulated by the cell-cycle in poorly characterised organisms. Commonly the investigator is only interested in genes expressed at...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-63

    authors: Andersson CR,Isaksson A,Gustafsson MG

    更新日期:2006-02-09 00:00:00

  • Evaluation of gene importance in microarray data based upon probability of selection.

    abstract:BACKGROUND:Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many important diseases can be traced down to the gene level, a long-standing research problem is to identify specific gene expression patterns linking t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-67

    authors: Fu LM,Fu-Liu CS

    更新日期:2005-03-22 00:00:00

  • The COG database: an updated version includes eukaryotes.

    abstract:BACKGROUND:The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appea...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-41

    authors: Tatusov RL,Fedorova ND,Jackson JD,Jacobs AR,Kiryutin B,Koonin EV,Krylov DM,Mazumder R,Mekhedov SL,Nikolskaya AN,Rao BS,Smirnov S,Sverdlov AV,Vasudevan S,Wolf YI,Yin JJ,Natale DA

    更新日期:2003-09-11 00:00:00

  • MQAPRank: improved global protein model quality assessment by learning-to-rank.

    abstract:BACKGROUND:Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure predict...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1691-z

    authors: Jing X,Dong Q

    更新日期:2017-05-25 00:00:00

  • Fregene: simulation of realistic sequence-level data in populations and ascertained samples.

    abstract:BACKGROUND:FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows complex scenarios of selection, demography, and recombination to be modelled simultaneously. Detailed tracking of sites under selection is im...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-364

    authors: Chadeau-Hyam M,Hoggart CJ,O'Reilly PF,Whittaker JC,De Iorio M,Balding DJ

    更新日期:2008-09-08 00:00:00

  • Functional relevance of dynamic properties of Dimeric NADP-dependent Isocitrate Dehydrogenases.

    abstract:BACKGROUND:Isocitrate Dehydrogenases (IDHs) are important enzymes present in all living cells. Three subfamilies of functionally dimeric IDHs (subfamilies I, II, III) are known. Subfamily I are well-studied bacterial IDHs, like that of Escherischia coli. Subfamily II has predominantly eukaryotic members, but it also ha...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S17-S2

    authors: Vinekar R,Verma C,Ghosh I

    更新日期:2012-01-01 00:00:00

  • Constructing patch-based ligand-binding pocket database for predicting function of proteins.

    abstract:BACKGROUND:Many of solved tertiary structures of unknown functions do not have global sequence and structural similarities to proteins of known function. Often functional clues of unknown proteins can be obtained by predicting small ligand molecules that bind to the proteins. METHODS:In our previous work, we have deve...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S2-S7

    authors: Sael L,Kihara D

    更新日期:2012-03-13 00:00:00

  • Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites.

    abstract:BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-169

    authors: Meinicke P,Tech M,Morgenstern B,Merkl R

    更新日期:2004-10-28 00:00:00

  • Joint haplotype assembly and genotype calling via sequential Monte Carlo algorithm.

    abstract:BACKGROUND:Genetic variations predispose individuals to hereditary diseases, play important role in the development of complex diseases, and impact drug metabolism. The full information about the DNA variations in the genome of an individual is given by haplotypes, the ordered lists of single nucleotide polymorphisms (...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0651-8

    authors: Ahn S,Vikalo H

    更新日期:2015-07-16 00:00:00

  • ProCKSI: a decision support system for Protein (structure) Comparison, Knowledge, Similarity and Information.

    abstract:BACKGROUND:We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Simila...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-416

    authors: Barthel D,Hirst JD,Błazewicz J,Burke EK,Krasnogor N

    更新日期:2007-10-26 00:00:00

  • Predicting MoRFs in protein sequences using HMM profiles.

    abstract:BACKGROUND:Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular Recognition Features (MoRFs) are functional regions within IDPs that undergo a disorder-to-order transition on binding to a partner protein. Identifying MoRFs i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1375-0

    authors: Sharma R,Kumar S,Tsunoda T,Patil A,Sharma A

    更新日期:2016-12-22 00:00:00

  • High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

    abstract:BACKGROUND:We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. The original version of GoMiner was oriented toward visualization and interp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-168

    authors: Zeeberg BR,Qin H,Narasimhan S,Sunshine M,Cao H,Kane DW,Reimers M,Stephens RM,Bryant D,Burt SK,Elnekave E,Hari DM,Wynn TA,Cunningham-Rundles C,Stewart DM,Nelson D,Weinstein JN

    更新日期:2005-07-05 00:00:00

  • Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins.

    abstract:BACKGROUND:Phylogenies capture the evolutionary ancestry linking extant species. Correlations and similarities among a set of species are mediated by and need to be understood in terms of the phylogenic tree. In a similar way it has been argued that biological networks also induce correlations among sets of interacting...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-470

    authors: Kelly WP,Stumpf MP

    更新日期:2010-09-20 00:00:00

  • Approaching the taxonomic affiliation of unidentified sequences in public databases--an example from the mycorrhizal fungi.

    abstract:BACKGROUND:During the last few years, DNA sequence analysis has become one of the primary means of taxonomic identification of species, particularly so for species that are minute or otherwise lack distinct, readily obtainable morphological characters. Although the number of sequences available for comparison in public...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-178

    authors: Nilsson RH,Kristiansson E,Ryberg M,Larsson KH

    更新日期:2005-07-18 00:00:00

  • GraphCrunch: a tool for large network analyses.

    abstract:BACKGROUND:The recent explosion in biological and other real-world network data has created the need for improved tools for large network analyses. In addition to well established global network properties, several new mathematical techniques for analyzing local structural properties of large networks have been develop...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-70

    authors: Milenković T,Lai J,Przulj N

    更新日期:2008-01-30 00:00:00

  • An SVM-based system for predicting protein subnuclear localizations.

    abstract:BACKGROUND:The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computational tool for the prediction of subnuclear and subcellular localizations generally applicable to protein sequences. The information on localiza...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-291

    authors: Lei Z,Dai Y

    更新日期:2005-12-07 00:00:00

  • Considering scores between unrelated proteins in the search database improves profile comparison.

    abstract:BACKGROUND:Profile-based comparison of multiple sequence alignments is a powerful methodology for the detection remote protein sequence similarity, which is essential for the inference and analysis of protein structure, function, and evolution. Accurate estimation of statistical significance of detected profile similar...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-399

    authors: Sadreyev RI,Wang Y,Grishin NV

    更新日期:2009-12-04 00:00:00

  • Integration of open access literature into the RCSB Protein Data Bank using BioLit.

    abstract:BACKGROUND:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-220

    authors: Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

    更新日期:2010-04-29 00:00:00

  • Species-specific analysis of protein sequence motifs using mutual information.

    abstract:BACKGROUND:Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-164

    authors: Hummel J,Keshvari N,Weckwerth W,Selbig J

    更新日期:2005-06-29 00:00:00