Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts.

abstract：BACKGROUND:MicroRNAs (miRNAs) are recognized as one of the most important families of non-coding RNAs that serve as important sequence-specific post-transcriptional regulators of gene expression. Identification of miRNAs is an important requirement for understanding the mechanisms of post-transcriptional regulation. Hu...

journal_title：BMC bioinformatics

authors： Huang TH,Fan B,Rothschild MF,Hu ZL,Li K,Zhao SH

更新日期：2007-09-17 00:00:00

abstract：BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

journal_title：BMC bioinformatics

authors： Tibshirani R

更新日期：2006-03-02 00:00:00

abstract：BACKGROUND:Human triosephosphate isomerase (HsTIM) deficiency is a genetic disease caused often by the pathogenic mutation E104D. This mutation, located at the side of an abnormally large cluster of water in the inter-subunit interface, reduces the thermostability of the enzyme. Why and how these water molecules are di...

journal_title：BMC bioinformatics

authors： Li Z,He Y,Liu Q,Zhao L,Wong L,Kwoh CK,Nguyen H,Li J

更新日期：2013-01-01 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:Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only ...

journal_title：BMC bioinformatics

authors： Lee JA,Sinkovits RS,Mock D,Rab EL,Cai J,Yang P,Saunders B,Hsueh RC,Choi S,Subramaniam S,Scheuermann RH,Alliance for Cellular Signaling.

更新日期：2006-05-02 00:00:00

abstract：BACKGROUND:Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molec...

journal_title：BMC bioinformatics

authors： Steffen M,Petti A,Aach J,D'haeseleer P,Church G

更新日期：2002-11-01 00:00:00

abstract：BACKGROUND:Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., conti...

journal_title：BMC bioinformatics

authors： Taskesen E,Beekman R,de Ridder J,Wouters BJ,Peeters JK,Touw IP,Reinders MJ,Delwel R

更新日期：2010-05-21 00:00:00

abstract：BACKGROUND:The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlations amongst heterogeneous data such as Gene Ontology annotations, gene expression data and genome location of genes. Despite the rapid growth ...

journal_title：BMC bioinformatics

authors： Barriot R,Sherman DJ,Dutour I

更新日期：2007-09-11 00:00:00

abstract：BACKGROUND:The incorporation of biological knowledge can enhance the analysis of biomedical data. We present a novel method that uses a proteomic knowledge base to enhance the performance of a rule-learning algorithm in identifying putative biomarkers of disease from high-dimensional proteomic mass spectral data. In pa...

journal_title：BMC bioinformatics

authors： Lustgarten JL,Visweswaran S,Bowser RP,Hogan WR,Gopalakrishnan V

更新日期：2009-09-17 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:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...

journal_title：BMC bioinformatics

authors： Thakur S,Guttman DS

更新日期：2016-06-30 00:00:00

abstract：BACKGROUND:Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objectiv...

journal_title：BMC bioinformatics

authors： Zuyderduyn SD,Jones SJ

更新日期：2003-10-28 00:00:00

abstract：BACKGROUND:HIV/AIDS is a serious threat to public health. The emergence of drug resistance mutations diminishes the effectiveness of drug therapy for HIV/AIDS. Developing a computational prediction of drug resistance phenotype will enable efficient and timely selection of the best treatment regimens. RESULTS:A unified...

journal_title：BMC bioinformatics

authors： Shen C,Yu X,Harrison RW,Weber IT

更新日期：2016-08-31 00:00:00

abstract：BACKGROUND:The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available information. Computational methods for the prioritization of candidate genes can h...

journal_title：BMC bioinformatics

authors： Zampieri G,Tran DV,Donini M,Navarin N,Aiolli F,Sperduti A,Valle G

更新日期：2018-01-25 00:00:00

abstract：BACKGROUND:Genomic duplications constitute major events in the evolution of species, allowing paralogous copies of genes to take on fine-tuned biological roles. Unambiguously identifying the orthology relationship between copies across multiple genomes can be resolved by synteny, i.e. the conserved order of genomic seq...

journal_title：BMC bioinformatics

authors： Zamani N,Sundström G,Meadows JR,Höppner MP,Dainat J,Lantz H,Haas BJ,Grabherr MG

更新日期：2014-06-30 00:00:00

abstract：BACKGROUND:Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. Determination of subcellular localization using experimental approaches is time-consuming; thus, computational approaches become highly desirable. Extensive studies of localization prediction h...

journal_title：BMC bioinformatics

authors： Su EC,Chiu HS,Lo A,Hwang JK,Sung TY,Hsu WL

更新日期：2007-09-08 00:00:00

abstract：BACKGROUND:Multidimensional protein identification technology (MudPIT)-based shot-gun proteomics has been proven to be an effective platform for functional proteomics. In particular, the various sample preparation methods and bioinformatics tools can be integrated to improve the proteomics platform for applications lik...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu S,Dai SY,Yuan JS

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Annotations of the phylogenetic tree of the human kinome is an intuitive way to visualize compound profiling data, structural features of kinases or functional relationships within this important class of proteins. The increasing volume and complexity of kinase-related data underlines the need for a tool tha...

journal_title：BMC bioinformatics

authors： Eid S,Turk S,Volkamer A,Rippmann F,Fulle S

更新日期：2017-01-05 00:00:00

abstract：BACKGROUND:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

journal_title：BMC bioinformatics

authors： Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

更新日期：2009-05-06 00:00:00

abstract：BACKGROUND:Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically expressed. Such challenge occurs due to the fact that the observed time series usually exhibit non-idealities, such as noise, short length, an...

journal_title：BMC bioinformatics

authors： Liew AW,Xian J,Wu S,Smith D,Yan H

更新日期：2007-04-24 00:00:00

abstract：BACKGROUND:Clustering of protein sequences is of key importance in predicting the structure and function of newly sequenced proteins and is also of use for their annotation. With the advent of multiple high-throughput sequencing technologies, new protein sequences are becoming available at an extraordinary rate. The ra...

journal_title：BMC bioinformatics

authors： Abnousi A,Broschat SL,Kalyanaraman A

更新日期：2018-03-05 00:00:00

abstract：BACKGROUND:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

journal_title：BMC bioinformatics

authors： Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

更新日期：2018-10-04 00:00:00

abstract：BACKGROUND:A rapidly increasing flow of genomic data requires the development of efficient methods for obtaining its compact representation. Feature extraction facilitates classification, clustering and model analysis for testing and refining biological hypotheses. "Shotgun" metagenome is an analytically challenging ty...

journal_title：BMC bioinformatics

authors： Dubinkina VB,Ischenko DS,Ulyantsev VI,Tyakht AV,Alexeev DG

更新日期：2016-01-16 00:00:00

abstract：BACKGROUND:Meta-analysis (MA) is widely used to pool genome-wide association studies (GWASes) in order to a) increase the power to detect strong or weak genotype effects or b) as a result verification method. As a consequence of differing SNP panels among genotyping chips, imputation is the method of choice within GWAS...

journal_title：BMC bioinformatics

authors： Meesters C,Leber M,Herold C,Angisch M,Mattheisen M,Drichel D,Lacour A,Becker T

更新日期：2012-09-12 00:00:00

abstract：BACKGROUND:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...

journal_title：BMC bioinformatics

authors： Tsai RT,Chou WC,Su YS,Lin YC,Sung CL,Dai HJ,Yeh IT,Ku W,Sung TY,Hsu WL

更新日期：2007-09-01 00:00:00

abstract：BACKGROUND:The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant calling is widely used in disease research, clinical treatment and medicine research. However, current mainstream variant caller tools have a serious pro...

journal_title：BMC bioinformatics

authors： Xiao A,Wu Z,Dong S

更新日期：2019-02-14 00:00:00

abstract：BACKGROUND:A massive amount of proteomic data is generated on a daily basis, nonetheless annotating all sequences is costly and often unfeasible. As a countermeasure, machine learning methods have been used to automatically annotate new protein functions. More specifically, many studies have investigated hierarchical m...

journal_title：BMC bioinformatics

authors： Nakano FK,Lietaert M,Vens C

更新日期：2019-09-23 00:00:00

abstract：BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

journal_title：BMC bioinformatics

authors： Ranzinger R,Herget S,Wetter T,von der Lieth CW

更新日期：2008-09-19 00:00:00

abstract：BACKGROUND:Scientific workflows management systems are increasingly used to specify and manage bioinformatics experiments. Their programming model appeals to bioinformaticians, who can use them to easily specify complex data processing pipelines. Such a model is underpinned by a graph structure, where nodes represent b...

journal_title：BMC bioinformatics

authors： Cohen-Boulakia S,Chen J,Missier P,Goble C,Williams AR,Froidevaux C

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell auton...

journal_title：BMC bioinformatics

authors： Vacca M,Tripathi KP,Speranza L,Aiese Cigliano R,Scalabrì F,Marracino F,Madonna M,Sanseverino W,Perrone-Capano C,Guarracino MR,D'Esposito M

更新日期：2016-01-20 00:00:00