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

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:Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation. Whether the task is to identify co-expressed genes in large-scale expression surveys or to predict combinations of gene knockouts which would elicit a similar phe...

journal_title：BMC bioinformatics

authors： Lee JY,Fujimoto GM,Wilson R,Wiley HS,Payne SH

更新日期：2018-06-11 00:00:00

abstract：BACKGROUND:The topology of a biological pathway provides clues as to how a pathway operates, but rationally using this topology information with observed gene expression data remains a challenge. RESULTS:We introduce a new general-purpose analytic method called Mechanistic Bayesian Networks (MBNs) that allows for the ...

journal_title：BMC bioinformatics

authors： Shah A,Tenzen T,McMahon AP,Woolf PJ

更新日期：2009-12-18 00:00:00

abstract：BACKGROUND:Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of ...

journal_title：BMC bioinformatics

authors： Spirito G,Mangoni D,Sanges R,Gustincich S

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:Due to recent technology advancements, disease related knowledge is growing rapidly. It becomes nontrivial to go through all published literature to identify associations between human diseases and genetic, environmental, and life style factors, disease symptoms, and treatment strategies. Here we report DLAD...

journal_title：BMC bioinformatics

authors： Shen J,Vasaikar S,Zhang B

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease associations can provide a new perspective for the diagnosis and treatment of diseases. The main function of many ln...

journal_title：BMC bioinformatics

authors： Zhang Y,Ye F,Xiong D,Gao X

更新日期：2020-09-03 00:00:00

abstract：BACKGROUND:The developments of high-throughput genotyping technologies, which enable the simultaneous genotyping of hundreds of thousands of single nucleotide polymorphisms (SNP) have the potential to increase the benefits of genetic epidemiology studies. Although the enhanced resolution of these platforms increases th...

journal_title：BMC bioinformatics

authors： Chai HS,Sicotte H,Bailey KR,Turner ST,Asmann YW,Kocher JP

更新日期：2009-04-03 00:00:00

abstract：BACKGROUND:determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This feature can be used manually to include biological expertise, or automatically, usually by pairwise similarity searches. Multiple local similar...

journal_title：BMC bioinformatics

authors： Pitschi F,Devauchelle C,Corel E

更新日期：2010-09-02 00:00:00

abstract：BACKGROUND:In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms. In this paper, we address the problem of predicting protein complexes from a PPI network. This problem has two difficulties. One is r...

journal_title：BMC bioinformatics

authors： Maruyama O,Kuwahara Y

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:Many centrality measures have been proposed to mine and characterize the correlations between network topological properties and protein essentiality. However, most of them show limited prediction accuracy, and the number of common predicted essential proteins by different methods is very small. RESULTS:In ...

journal_title：BMC bioinformatics

authors： Zhang X,Xiao W,Acencio ML,Lemke N,Wang X

更新日期：2016-08-25 00:00:00

abstract：BACKGROUND:Although most of the current disease candidate gene identification and prioritization methods depend on functional annotations, the coverage of the gene functional annotations is a limiting factor. In the current study, we describe a candidate gene prioritization method that is entirely based on protein-prot...

journal_title：BMC bioinformatics

authors： Chen J,Aronow BJ,Jegga AG

更新日期：2009-02-27 00:00:00

abstract：BACKGROUND:The methodologies we use both enable and help define our research. However, as experimental complexity has increased the choice of appropriate methodologies has become an increasingly difficult task. This makes it difficult to keep track of available bioinformatics software, let alone the most suitable proto...

journal_title：BMC bioinformatics

authors： Eales JM,Pinney JW,Stevens RD,Robertson DL

更新日期：2008-09-01 00:00:00

abstract：BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

journal_title：BMC bioinformatics

authors： Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

更新日期：2007-06-19 00:00:00

abstract：BACKGROUND:Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of genomic and functional change. We developed Evolutionary Genomics and Biodiversity (EGenBio; http://egenbio.lsu.edu) to begin to address this....

journal_title：BMC bioinformatics

authors： Nahum LA,Reynolds MT,Wang ZO,Faith JJ,Jonna R,Jiang ZJ,Meyer TJ,Pollock DD

更新日期：2006-09-06 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 00:00:00

abstract：BACKGROUND:Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cycle by employing the traditional experimental method. With the fact that the number of drug molecules with positive activity is rather fewer t...

journal_title：BMC bioinformatics

authors： Li GZ,Meng HH,Lu WC,Yang JY,Yang MQ

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical utility can be limited,...

journal_title：BMC bioinformatics

authors： Lin J,Sibley A,Shterev I,Nixon A,Innocenti F,Chan C,Owzar K

更新日期：2019-06-13 00:00:00

abstract：BACKGROUND:Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the sequencing of small non-coding regulatory RNAs and the identification of the genomic locales from which they originate. Currently, there is a pauci...

journal_title：BMC bioinformatics

authors： MacLean D,Moulton V,Studholme DJ

更新日期：2010-02-18 00:00:00

abstract：BACKGROUND:Protein aggregation is a significant problem in the biopharmaceutical industry (protein drug stability) and is associated medically with over 40 human diseases. Although a number of computational models have been developed for predicting aggregation propensity and identifying aggregation-prone regions in pro...

journal_title：BMC bioinformatics

authors： Fang Y,Gao S,Tai D,Middaugh CR,Fang J

更新日期：2013-10-28 00:00:00

abstract：BACKGROUND:Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A variety of scores are available today but it is not clear how different scores relate to each other. RESULTS:We applied 25 conservation and v...

journal_title：BMC bioinformatics

authors： Johansson F,Toh H

更新日期：2010-07-21 00:00:00

abstract：BACKGROUND:Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine learning methods have...

journal_title：BMC bioinformatics

authors： Eslami Manoochehri H,Nourani M

更新日期：2020-07-06 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:The analysis of sequence-structure relations of RNA is based on a specific notion and folding of RNA structure. The notion of coarse grained structure employed here is that of canonical RNA pseudoknot contact-structures with at most two mutually crossing bonds (3-noncrossing). These structures are folded by ...

journal_title：BMC bioinformatics

authors： Huang FW,Li LY,Reidys CM

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Decreasing costs of DNA sequencing have made prokaryotic draft genome sequences increasingly common. A contig scaffold is an ordering of contigs in the correct orientation. A scaffold can help genome comparisons and guide gap closure efforts. One popular technique for obtaining contig scaffolds is to map con...

journal_title：BMC bioinformatics

authors： Dias Z,Dias U,Setubal JC

更新日期：2012-05-14 00:00:00

abstract：BACKGROUND:Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure ...

journal_title：BMC bioinformatics

authors： Tharatipyakul A,Numnark S,Wichadakul D,Ingsriswang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:In the last few years high-throughput analysis methods have become state-of-the-art in the life sciences. One of the latest developments is automated greenhouse systems for high-throughput plant phenotyping. Such systems allow the non-destructive screening of plants over a period of time by means of image ac...

journal_title：BMC bioinformatics

authors： Hartmann A,Czauderna T,Hoffmann R,Stein N,Schreiber F

更新日期：2011-05-12 00:00:00

abstract：BACKGROUND:Interpretation of gene expression microarray data in the light of external information on both columns and rows (experimental variables and gene annotations) facilitates the extraction of pertinent information hidden in these complex data. Biologists classically interpret genes of interest after retrieving f...

journal_title：BMC bioinformatics

authors： Baty F,Rüdiger J,Miglino N,Kern L,Borger P,Brutsche M

更新日期：2013-06-06 00:00:00

abstract：:Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Clinical and Translational Sciences (CCTS) at the University of Texas Health Science Center at Houston (UTHSC-H)...

journal_title：BMC bioinformatics

authors： Mirhaji P,Zhu M,Vagnoni M,Bernstam EV,Zhang J,Smith JW

更新日期：2009-02-05 00:00:00

abstract：BACKGROUND:The rapid pace of bioscience research makes it very challenging to track relevant articles in one's area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year. Thus it is not surprising to se...

journal_title：BMC bioinformatics

authors： Srinivasan P,Zhang XN,Bouten R,Chang C

更新日期：2015-06-20 00:00:00

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00