Knowledge discovery of drug data on the example of adverse reaction prediction.

abstract：BACKGROUND:Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such sets of genes is, usually, not readily apparent. Identification of the functions of the genes in the set can help highlight features of intere...

journal_title：BMC bioinformatics

authors： Lee JS,Katari G,Sachidanandam R

更新日期：2005-07-25 00:00:00

abstract：BACKGROUND:Cancer is a complex disease which is characterized by the accumulation of genetic alterations during the patient's lifetime. With the development of the next-generation sequencing technology, multiple omics data, such as cancer genomic, epigenomic and transcriptomic data etc., can be measured from each indiv...

journal_title：BMC bioinformatics

authors： Wei PJ,Zhang D,Xia J,Zheng CH

更新日期：2016-12-23 00:00:00

abstract：BACKGROUND:The analysis of mass spectra suggests that the existence of derivative peaks is strongly dependent on the intensity of the primary peaks. Peak selection from tandem mass spectrum is used to filter out noise and contaminant peaks. It is widely accepted that a valid primary peak tends to have high intensity an...

journal_title：BMC bioinformatics

authors： Zhang S,Wang Y,Bu D,Zhang H,Sun S

更新日期：2011-08-17 00:00:00

abstract：BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

journal_title：BMC bioinformatics

authors： Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

更新日期：2020-05-29 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 process of oxidative folding combines the formation of native disulfide bond with conformational folding resulting in the native three-dimensional fold. Oxidative folding pathways can be described in terms of disulfide intermediate species (DIS) which can also be isolated and characterized. Each DIS corr...

journal_title：BMC bioinformatics

authors： Agoston V,Cemazar M,Kaján L,Pongor S

更新日期：2005-01-27 00:00:00

abstract：BACKGROUND:The third edition of the BioNLP Shared Task was held with the grand theme "knowledge base construction (KB)". The Genia Event (GE) task was re-designed and implemented in light of this theme. For its final report, the participating systems were evaluated from a perspective of annotation. To further explore t...

journal_title：BMC bioinformatics

authors： Kim JD,Kim JJ,Han X,Rebholz-Schuhmann D

更新日期：2015-01-01 00:00:00

abstract：:Metabolic network alignment is a system scale comparative analysis that discovers important similarities and differences across different metabolisms and organisms. Although the problem of aligning metabolic networks has been considered in the past, the computational complexity of the existing solutions has so far lim...

journal_title：BMC bioinformatics

authors： Ay F,Dang M,Kahveci T

更新日期：2012-03-21 00:00:00

abstract：BACKGROUND:The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph models has often been applied to study the structural c...

journal_title：BMC bioinformatics

authors： Zhao J,Yu H,Luo JH,Cao ZW,Li YX

更新日期：2006-08-18 00:00:00

abstract：BACKGROUND:Data extraction and integration methods are becoming essential to effectively access and take advantage of the huge amounts of heterogeneous genomics and clinical data increasingly available. In this work, we focus on The Cancer Genome Atlas, a comprehensive archive of tumoral data containing the results of ...

journal_title：BMC bioinformatics

authors： Cumbo F,Fiscon G,Ceri S,Masseroli M,Weitschek E

更新日期：2017-01-03 00:00:00

abstract：BACKGROUND:The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research. We present a novel method called MergeAlign which constructs consensus MSAs fro...

journal_title：BMC bioinformatics

authors： Collingridge PW,Kelly S

更新日期：2012-05-30 00:00:00

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

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

更新日期：2004-10-28 00:00:00

abstract：BACKGROUND:Current development of sequencing technologies is towards generating longer and noisier reads. Evidently, accurate alignment of these reads play an important role in any downstream analysis. Similarly, reducing the overall cost of sequencing is related to the time consumption of the aligner. The tradeoff bet...

journal_title：BMC bioinformatics

authors： Nashta-Ali D,Aliyari A,Ahmadian Moghadam A,Edrisi MA,Motahari SA,Hossein Khalaj B

更新日期：2017-02-23 00:00:00

abstract：BACKGROUND:The detection of weak signals and selection of single particles from low-contrast micrographs of frozen hydrated biomolecules by cryo-electron microscopy (cryo-EM) represents a major practical bottleneck in cryo-EM data analysis. Template-based particle picking by an objective function using fast local corre...

journal_title：BMC bioinformatics

authors： Wang WL,Yu Z,Castillo-Menendez LR,Sodroski J,Mao Y

更新日期：2019-04-03 00:00:00

abstract：BACKGROUND:Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hybridised to chips are vague. We conducted an experiment hybridising RNA from human brain to 117 U133A Affymetrix GeneChips and used these data...

journal_title：BMC bioinformatics

authors： Jones L,Goldstein DR,Hughes G,Strand AD,Collin F,Dunnett SB,Kooperberg C,Aragaki A,Olson JM,Augood SJ,Faull RL,Luthi-Carter R,Moskvina V,Hodges AK

更新日期：2006-04-19 00:00:00

abstract：BACKGROUND:New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioi...

journal_title：BMC bioinformatics

authors： Duncan S,Sirkanungo R,Miller L,Phillips GJ

更新日期：2010-02-22 00:00:00

abstract：BACKGROUND:Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledge stored within the data is to be retrieved. Storing data in ontologies aids its management; ontologies serve as controlled vocabularies that ...

journal_title：BMC bioinformatics

authors： Dadzie AS,Burger A

更新日期：2005-03-24 00:00:00

abstract：BACKGROUND:Cyclic nucleotides are ubiquitous intracellular messengers. Until recently, the roles of cyclic nucleotides in plant cells have proven difficult to uncover. With an understanding of the protein domains which can bind cyclic nucleotides (CNB and GAF domains) we scanned the completed genomes of the higher plan...

journal_title：BMC bioinformatics

authors： Bridges D,Fraser ME,Moorhead GB

更新日期：2005-01-11 00:00:00

abstract：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS) is a powerful technique which has gained increasing attention over the last two decades. The GC × GC-MS provides much increased separation capacity, chemical selectivity and sensitivity for complex sample analysis an...

journal_title：BMC bioinformatics

authors： Kim S,Koo I,Fang A,Zhang X

更新日期：2011-06-15 00:00:00

abstract：BACKGROUND:The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching databases for RNAs requires to match sequence-structure patterns. Unfortunately, current tools for this task have, in the best case, a running ti...

journal_title：BMC bioinformatics

authors： Meyer F,Kurtz S,Backofen R,Will S,Beckstette M

更新日期：2011-05-27 00:00:00

abstract：BACKGROUND:Protein sequence profile-profile alignment is an important approach to recognizing remote homologs and generating accurate pairwise alignments. It plays an important role in protein sequence database search, protein structure prediction, protein function prediction, and phylogenetic analysis. RESULTS:In thi...

journal_title：BMC bioinformatics

authors： Deng X,Cheng J

更新日期：2014-07-25 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:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

journal_title：BMC bioinformatics

authors： Mei S,Fei W,Zhou S

更新日期：2011-02-02 00:00:00

abstract：BACKGROUND:The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important. This interpretation may be eased if interacting elements can be identified and visualized, ...

journal_title：BMC bioinformatics

authors： Bornelöv S,Marillet S,Komorowski J

更新日期：2014-05-12 00:00:00

abstract：BACKGROUND:Extensive studies have been carried out on Caenorhabditis elegans as a model organism to elucidate mechanisms of aging and the effects of perturbing known aging-related genes on lifespan and behavior. This research has generated large amounts of experimental data that is increasingly difficult to integrate a...

journal_title：BMC bioinformatics

authors： Callahan A,Cifuentes JJ,Dumontier M

更新日期：2015-02-07 00:00:00

abstract：BACKGROUND:Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperfor...

journal_title：BMC bioinformatics

authors： Kim SY,Jacob L,Speed TP

更新日期：2014-05-21 00:00:00

abstract：BACKGROUND:In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of microarrays where N = 1 in each condition. In this paper, we demonstrate the effectiveness of a new al...

journal_title：BMC bioinformatics

authors： Reid RW,Fodor AA

更新日期：2008-11-21 00:00:00

abstract：BACKGROUND:Computational and visual data analysis for genomics has traditionally involved a combination of tools and resources, of which the most ubiquitous consist of genome browsers, focused mainly on integrative visualization of large numbers of big datasets, and computational environments, focused on data modeling ...

journal_title：BMC bioinformatics

authors： Chelaru F,Corrada Bravo H

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:The efficient and robust statistical analysis of the shape of plant organs of different cultivars is an important investigation issue in plant breeding and enables a robust cultivar description within the breeding progress. Laserscanning is a highly accurate and high resolution technique to acquire the 3D sh...

journal_title：BMC bioinformatics

authors： Heeren B,Paulus S,Goldbach H,Kuhlmann H,Mahlein AK,Rumpf M,Wirth B

更新日期：2020-07-29 00:00:00