OmicsARules: a R package for integration of multi-omics datasets via association rules mining.

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:The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing...

journal_title：BMC bioinformatics

authors： Revanna KV,Chiu CC,Bierschank E,Dong Q

更新日期：2011-08-02 00:00:00

abstract：BACKGROUND:The ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) Nomarski differential interference contrast (DIC) microscope images of Caenorhabditis elegans embryos...

journal_title：BMC bioinformatics

authors： Hamahashi S,Onami S,Kitano H

更新日期：2005-05-24 00:00:00

abstract：BACKGROUND:Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable. Therefore, methods to correct this kind of technical variation are critical. Here we consider a me...

journal_title：BMC bioinformatics

authors： Pelz CR,Kulesz-Martin M,Bagby G,Sears RC

更新日期：2008-12-04 00:00:00

abstract：BACKGROUND:Over the last two decades, an innovative technology called Tissue Microarray (TMA), which combines multi-tissue and DNA microarray concepts, has been widely used in the field of histology. It consists of a collection of several (up to 1000 or more) tissue samples that are assembled onto a single support - ty...

journal_title：BMC bioinformatics

authors： Nguyen HN,Paveau V,Cauchois C,Kervrann C

更新日期：2018-04-19 00:00:00

abstract：BACKGROUND:Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptio...

journal_title：BMC bioinformatics

authors： Chevenet F,Brun C,Bañuls AL,Jacq B,Christen R

更新日期：2006-10-10 00:00:00

abstract：BACKGROUND:Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i...

journal_title：BMC bioinformatics

authors： Lu T,Costello CM,Croucher PJ,Häsler R,Deuschl G,Schreiber S

更新日期：2005-02-23 00:00:00

abstract：BACKGROUND:Orthologs inference is the starting point of most comparative genomics studies, and a plethora of methods have been designed in the last decade to address this challenging task. In this paper we focus on the problems of deciding consistency with a species tree (known or not) of a partial set of orthology/par...

journal_title：BMC bioinformatics

authors： Jones M,Paul C,Scornavacca C

更新日期：2016-11-11 00:00:00

abstract：BACKGROUND:Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences s...

journal_title：BMC bioinformatics

authors： Arenas M,Posada D

更新日期：2007-11-20 00:00:00

abstract：BACKGROUND:The imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set. A few imputation methods for DNA microarray data have been introduced, but the efficiency of the methods was low and the va...

journal_title：BMC bioinformatics

authors： Kim KY,Kim BJ,Yi GS

更新日期：2004-10-26 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:The annotation of protein post-translational modifications (PTMs) is an important task of UniProtKB curators and, with continuing improvements in experimental methodology, an ever greater number of articles are being published on this topic. To help curators cope with this growing body of information we have...

journal_title：BMC bioinformatics

authors： Veuthey AL,Bridge A,Gobeill J,Ruch P,McEntyre JR,Bougueleret L,Xenarios I

更新日期：2013-03-22 00:00:00

abstract：BACKGROUND:A phylogeny is the evolutionary history of a group of organisms. To date, sequence data is still the most used data type for phylogenetic reconstruction. Before any sequences can be used for phylogeny reconstruction, they must be aligned, and the quality of the multiple sequence alignment has been shown to a...

journal_title：BMC bioinformatics

authors： Yue F,Shi J,Tang J

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Molecular signatures are sets of genes, proteins, genetic variants or other variables that can be used as markers for a particular phenotype. Reliable signature discovery methods could yield valuable insight into cell biology and mechanisms of human disease. However, it is currently not clear how to control ...

journal_title：BMC bioinformatics

authors： Nilsson R,Björkegren J,Tegnér J

更新日期：2009-01-29 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:In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory binding sites given a set of genomic sequences. As the number of software packages increases, it becomes more important to identify the tools with ...

journal_title：BMC bioinformatics

authors： Quest D,Dempsey K,Shafiullah M,Bastola D,Ali H

更新日期：2008-08-12 00:00:00

abstract：BACKGROUND:Guide-trees are used as part of an essential heuristic to enable the calculation of multiple sequence alignments. They have been the focus of much method development but there has been little effort at determining systematically, which guide-trees, if any, give the best alignments. Some guide-tree constructi...

journal_title：BMC bioinformatics

authors： Sievers F,Hughes GM,Higgins DG

更新日期：2014-10-04 00:00:00

abstract：BACKGROUND:Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time se...

journal_title：BMC bioinformatics

authors： Sinha A,Markatou M

更新日期：2011-01-11 00:00:00

abstract：BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

journal_title：BMC bioinformatics

authors： Sarda D,Chua GH,Li KB,Krishnan A

更新日期：2005-06-17 00:00:00

abstract：BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

journal_title：BMC bioinformatics

authors： Meng H,Murrelle EL,Li G

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:Eisenia fetida, commonly known as red wiggler or compost worm, belongs to the Lumbricidae family of the Annelida phylum. Little is known about its genome sequence although it has been extensively used as a test organism in terrestrial ecotoxicology. In order to understand its gene expression response to envi...

journal_title：BMC bioinformatics

authors： Pirooznia M,Gong P,Guan X,Inouye LS,Yang K,Perkins EJ,Deng Y

更新日期：2007-11-01 00:00:00

abstract：BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

journal_title：BMC bioinformatics

authors： Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. Unfortunately, most of them are not applicable for the identification of unique genes and the inferen...

journal_title：BMC bioinformatics

authors： Lu G,Jiang L,Helikar RM,Rowley TW,Zhang L,Chen X,Moriyama EN

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNA) are regulatory genes that target and repress other RNA molecules via sequence-specific binding. Several biological processes are regulated across many organisms by evolutionarily conserved miRNAs. Plants and invertebrates employ their miRNA in defense against viruses by targeting and degrad...

journal_title：BMC bioinformatics

authors： Carl JW Jr,Trgovcich J,Hannenhalli S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Caspases are a family of proteases that have central functions in programmed cell death (apoptosis) and inflammation. Caspases mediate their effects through aspartate-specific cleavage of their target proteins, and at present almost 400 caspase substrates are known. There are several methods developed to pre...

journal_title：BMC bioinformatics

authors： Piippo M,Lietzén N,Nevalainen OS,Salmi J,Nyman TA

更新日期：2010-06-15 00:00:00

abstract：BACKGROUND:Processing and analysis of DNA sequences obtained from next-generation sequencing (NGS) face some difficulties in terms of the correct prediction of DNA sequencing outcomes without the implementation of bioinformatics approaches. However, algorithms based on NGS perform inefficiently due to the generation of...

journal_title：BMC bioinformatics

authors： Shityakov S,Bencurova E,Förster C,Dandekar T

更新日期：2020-04-03 00:00:00

abstract：BACKGROUND:Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein interaction data in a genome-scale. A wide range of computational approaches have been applied to interactome network analysis for uncovering functi...

journal_title：BMC bioinformatics

authors： Cho YR,Zhang A

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate the burden of synaps...

journal_title：BMC bioinformatics

authors： Xiao C,Li W,Deng H,Chen X,Yang Y,Xie Q,Han H

更新日期：2018-07-13 00:00:00

abstract：BACKGROUND:Detecting patterns in high-dimensional multivariate datasets is non-trivial. Clustering and dimensionality reduction techniques often help in discerning inherent structures. In biological datasets such as microbial community composition or gene expression data, observations can be generated from a continuous...

journal_title：BMC bioinformatics

authors： Nguyen LH,Holmes S

更新日期：2017-09-13 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