Identification of consensus RNA secondary structures using suffix arrays.

abstract：BACKGROUND:Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this...

journal_title：BMC bioinformatics

authors： Zhang X,Gao L,Liu ZP,Chen L

更新日期：2015-03-18 00:00:00

abstract：BACKGROUND:Over the last decade, next generation sequencing (NGS) has become widely available, and is now the sequencing technology of choice for most researchers. Nonetheless, NGS presents a challenge for the evolutionary biologists who wish to estimate evolutionary genetic parameters from a mixed sample of unlabelled...

journal_title：BMC bioinformatics

authors： Wu SH,Rodrigo AG

更新日期：2015-11-04 00:00:00

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

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

更新日期：2016-12-22 00:00:00

abstract：BACKGROUND:Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. RESULTS:In this paper, we accelerate MEME algorithm targeted on Intel Many Integrated Core (MIC) Architectur...

journal_title：BMC bioinformatics

authors： Peng S,Cheng M,Huang K,Cui Y,Zhang Z,Guo R,Zhang X,Yang S,Liao X,Lu Y,Zou Q,Shi B

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

journal_title：BMC bioinformatics

authors： Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

更新日期：2015-02-20 00:00:00

abstract：BACKGROUND:Searching for similar compounds in a database is the most important process for in-silico drug screening. Since a query compound is an important starting point for the new drug, a query holder, who is afraid of the query being monitored by the database server, usually downloads all the records in the databas...

journal_title：BMC bioinformatics

authors： Shimizu K,Nuida K,Arai H,Mitsunari S,Attrapadung N,Hamada M,Tsuda K,Hirokawa T,Sakuma J,Hanaoka G,Asai K

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene e...

journal_title：BMC bioinformatics

authors： Müller HG,Chiou JM,Leng X

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:There are many fewer genes in the human genome than there are expressed transcripts. Alternative splicing is the reason. Alternatively spliced transcripts are often specific to tissue type, developmental stage, environmental condition, or disease state. Accurate analysis of microarray expression data and des...

journal_title：BMC bioinformatics

authors： Kahn AB,Ryan MC,Liu H,Zeeberg BR,Jamison DC,Weinstein JN

更新日期：2007-03-05 00:00:00

abstract：BACKGROUND:The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, an...

journal_title：BMC bioinformatics

authors： Tsugawa H,Tsujimoto Y,Arita M,Bamba T,Fukusaki E

更新日期：2011-05-04 00:00:00

abstract：BACKGROUND:Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our motivation is inspired by label propagation algorithm and the false positive protein-protein intera...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu J,Liu X,Fan X,Hong Y,Wang Y,Huang Y,Xie M

更新日期：2018-02-08 00:00:00

abstract：BACKGROUND:Knowledge of subcellular localization of proteins is crucial to proteomics, drug target discovery and systems biology since localization and biological function are highly correlated. In recent years, numerous computational prediction methods have been developed. Nevertheless, there is still a need for predi...

journal_title：BMC bioinformatics

authors： Blum T,Briesemeister S,Kohlbacher O

更新日期：2009-09-01 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are small ~22 nucleotide non-coding RNAs that function as post-transcriptional regulators of messenger RNA (mRNA) through base-pairing to 6-8 nucleotide long target sites, usually located within the mRNA 3' untranslated region. A common approach to validate and probe microRNA-mRNA interact...

journal_title：BMC bioinformatics

authors： Ryan BC,Werner TS,Howard PL,Chow RL

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS:We present Multire...

journal_title：BMC bioinformatics

authors： Feigelman J,Theis FJ,Marr C

更新日期：2014-07-11 00:00:00

abstract：BACKGROUND:Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channels being compared. Any step in a microarray process may introduce such offsets and in this article we study the biases introduced by the micro...

journal_title：BMC bioinformatics

authors： Bengtsson H,Jönsson G,Vallon-Christersson J

更新日期：2004-11-12 00:00:00

abstract：BACKGROUND:Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. RESULTS:He...

journal_title：BMC bioinformatics

authors： Sanli K,Karlsson FH,Nookaew I,Nielsen J

更新日期：2013-02-01 00:00:00

abstract：BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

journal_title：BMC bioinformatics

authors： Liu Q,Crammer K,Pereira FC,Roos DS

更新日期：2008-10-14 00:00:00

abstract：BACKGROUND:Leishmania and other members of the Trypanosomatidae family diverged early on in eukaryotic evolution and consequently display unique cellular properties. Their apparent lack of transcriptional regulation is compensated by complex post-transcriptional control mechanisms, including the processing of polycistr...

journal_title：BMC bioinformatics

authors： Smith M,Blanchette M,Papadopoulou B

更新日期：2008-03-20 00:00:00

abstract：BACKGROUND:Discovering patterns from gene expression levels is regarded as a classification problem when tissue classes of the samples are given and solved as a discrete-data problem by discretizing the expression levels of each gene into intervals maximizing the interdependence between that gene and the class labels. ...

journal_title：BMC bioinformatics

authors： Wu GP,Chan KC,Wong AK

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:In many laboratories, researchers store experimental data on their own workstation using spreadsheets. However, this approach poses a number of problems, ranging from sharing issues to inefficient data-mining. Standard spreadsheets are also error-prone, as data do not undergo any validation process. To overc...

journal_title：BMC bioinformatics

authors： Triplet T,Butler G

更新日期：2012-01-26 00:00:00

abstract：BACKGROUND:Fluorescent reporter genes have become widely used for monitoring gene expression in living cells. When a microbial strain carrying a reporter gene is grown in a microplate reader, the fluorescence and the absorbance (optical density) of the culture can be automatically measured every few minutes in a highly...

journal_title：BMC bioinformatics

authors： Martin Y,Page M,Blanchet C,de Jong H

更新日期：2019-06-11 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition....

journal_title：BMC bioinformatics

authors： Gu J,Fu H,Zhang X,Li Y

更新日期：2007-11-08 00:00:00

abstract：BACKGROUND:Protein domains coordinate to perform multifaceted cellular functions, and domain combinations serve as the functional building blocks of the cell. The available methods to identify functional domain combinations are limited in their scope, e.g. to the identification of combinations falling within individual...

journal_title：BMC bioinformatics

authors： McLaughlin WA,Chen K,Hou T,Wang W

更新日期：2007-10-16 00:00:00

abstract：BACKGROUND:Metabolomics is one of most recent omics technologies. It has been applied on fields such as food science, nutrition, drug discovery and systems biology. For this, gas chromatography-mass spectrometry (GC-MS) has been largely applied and many computational tools have been developed to support the analysis of...

journal_title：BMC bioinformatics

authors： Aggio RB,Mayor A,Reade S,Probert CS,Ruggiero K

更新日期：2014-12-10 00:00:00

abstract：BACKGROUND:Scientists rarely reuse expert knowledge of phylogeny, in spite of years of effort to assemble a great "Tree of Life" (ToL). A notable exception involves the use of Phylomatic, which provides tools to generate custom phylogenies from a large, pre-computed, expert phylogeny of plant taxa. This suggests great ...

journal_title：BMC bioinformatics

authors： Stoltzfus A,Lapp H,Matasci N,Deus H,Sidlauskas B,Zmasek CM,Vaidya G,Pontelli E,Cranston K,Vos R,Webb CO,Harmon LJ,Pirrung M,O'Meara B,Pennell MW,Mirarab S,Rosenberg MS,Balhoff JP,Bik HM,Heath TA,Midford PE,Brown

更新日期：2013-05-13 00:00:00

abstract：BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

journal_title：BMC bioinformatics

authors： Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

更新日期：2014-11-20 00:00:00

abstract：BACKGROUND:Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide "reverse engineering" of such networks have been successful only for lower eukaryotes with simple genomes. Here we present ARACNE, a n...

journal_title：BMC bioinformatics

authors： Margolin AA,Nemenman I,Basso K,Wiggins C,Stolovitzky G,Dalla Favera R,Califano A

更新日期：2006-03-20 00:00:00

abstract：BACKGROUND:A recently proposed method for estimating qPCR amplification efficiency E analyzes fluorescence intensity ratios from pairs of points deemed to lie in the exponential growth region on the amplification curves for all reactions in a dilution series. This method suffers from a serious problem: The resulting ra...

journal_title：BMC bioinformatics

authors： Tellinghuisen J

更新日期：2020-07-08 00:00:00

abstract：BACKGROUND:To understand biological processes and diseases, it is crucial to unravel the concerted interplay of transcription factors (TFs), microRNAs (miRNAs) and their targets within regulatory networks and fundamental sub-networks. An integrative computational resource generating a comprehensive view of these regula...

journal_title：BMC bioinformatics

authors： Le Béchec A,Portales-Casamar E,Vetter G,Moes M,Zindy PJ,Saumet A,Arenillas D,Theillet C,Wasserman WW,Lecellier CH,Friederich E

更新日期：2011-03-04 00:00:00

abstract：BACKGROUND:Next Generation Sequencing techniques are producing enormous amounts of biological sequence data and analysis becomes a major computational problem. Currently, most analysis, especially the identification of conserved regions, relies heavily on Multiple Sequence Alignment and its various heuristics such as p...

journal_title：BMC bioinformatics

authors： Nagar A,Hahsler M

更新日期：2013-01-01 00:00:00

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

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