Network hub-node prioritization of gene regulation with intra-network association.

abstract：BACKGROUND:The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential cis-regulatory elements. However, in practice many cis-regulatory elements are highly degenerate, precluding the use of an exhaustive word-cou...

journal_title：BMC bioinformatics

authors： Carlson JM,Chakravarty A,Khetani RS,Gross RH

更新日期：2006-05-15 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:Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the...

journal_title：BMC bioinformatics

authors： Baumbach J

更新日期：2007-11-06 00:00:00

abstract：BACKGROUND:RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expres...

journal_title：BMC bioinformatics

authors： Pérez-Rubio P,Lottaz C,Engelmann JC

更新日期：2019-05-03 00:00:00

abstract：BACKGROUND:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

journal_title：BMC bioinformatics

authors： Ngo TM,Teo YY

更新日期：2019-02-08 00:00:00

abstract：:Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these ca...

journal_title：BMC bioinformatics

authors： Schlitt T,Brazma A

更新日期：2007-09-27 00:00:00

abstract：BACKGROUND:Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the emergence of resistant strains. The outlook is worsened by the absence of promising drug targets for this disease. We have taken a computationa...

journal_title：BMC bioinformatics

authors： Flórez AF,Park D,Bhak J,Kim BC,Kuchinsky A,Morris JH,Espinosa J,Muskus C

更新日期：2010-09-27 00:00:00

abstract：BACKGROUND:Recent advances in global genomic profiling methodologies have enabled multi-dimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphism...

journal_title：BMC bioinformatics

authors： Chi B,deLeeuw RJ,Coe BP,Ng RT,MacAulay C,Lam WL

更新日期：2008-05-20 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:Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but adds to the total cost of the experiment. Several approaches for sample size determination have been developed for expression array studies, but...

journal_title：BMC bioinformatics

authors： Scheinin I,Ferreira JA,Knuutila S,Meijer GA,van de Wiel MA,Ylstra B

更新日期：2010-06-17 00:00:00

abstract：BACKGROUND:Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally includes individual e...

journal_title：BMC bioinformatics

authors： Wang G,Kossenkov AV,Ochs MF

更新日期：2006-03-28 00:00:00

abstract：BACKGROUND:It is well known that the search for homologous RNAs is more effective if both sequence and structure information is incorporated into the search. However, current tools for searching with RNA sequence-structure patterns cannot fully handle mutations occurring on both these levels or are simply not fast enou...

journal_title：BMC bioinformatics

authors： Meyer F,Kurtz S,Beckstette M

更新日期：2013-07-17 00:00:00

abstract：BACKGROUND:Analysis of gene expression data in terms of a priori-defined gene sets has recently received significant attention as this approach typically yields more compact and interpretable results than those produced by traditional methods that rely on individual genes. The set-level strategy can also be adopted wit...

journal_title：BMC bioinformatics

authors： Holec M,Kléma J,Zelezný F,Tolar J

更新日期：2012-06-25 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:Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic re...

journal_title：BMC bioinformatics

authors： Chou HL,Yao CT,Su SL,Lee CY,Hu KY,Terng HJ,Shih YW,Chang YT,Lu YF,Chang CW,Wahlqvist ML,Wetter T,Chu CM

更新日期：2013-03-19 00:00:00

abstract：BACKGROUND AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

journal_title：BMC bioinformatics

authors： Couronné R,Probst P,Boulesteix AL

更新日期：2018-07-17 00:00:00

abstract：BACKGROUND:Clustering techniques are routinely used in gene expression data analysis to organize the massive data. Clustering techniques arrange a large number of genes or assays into a few clusters while maximizing the intra-cluster similarity and inter-cluster separation. While clustering of genes facilitates learnin...

journal_title：BMC bioinformatics

authors： Jonnalagadda S,Srinivasan R

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:The recent explosion in biological and other real-world network data has created the need for improved tools for large network analyses. In addition to well established global network properties, several new mathematical techniques for analyzing local structural properties of large networks have been develop...

journal_title：BMC bioinformatics

authors： Milenković T,Lai J,Przulj N

更新日期：2008-01-30 00:00:00

abstract：BACKGROUND:Techniques for reconstruction of biological networks which are based on perturbation experiments often predict direct interactions between nodes that do not exist. Transitive reduction removes such relations if they can be explained by an indirect path of influences. The existing algorithms for transitive re...

journal_title：BMC bioinformatics

authors： Bošnački D,Odenbrett MR,Wijs A,Ligtenberg W,Hilbers P

更新日期：2012-10-30 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:Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy manual citation analysis. Automation of citation analytics can be very useful and timesaving for both novices and experts. RESULTS:PubFocus w...

journal_title：BMC bioinformatics

authors： Plikus MV,Zhang Z,Chuong CM

更新日期：2006-10-02 00:00:00

abstract：BACKGROUND:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

journal_title：BMC bioinformatics

authors： Shida K

更新日期：2006-11-04 00:00:00

abstract：BACKGROUND:Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks of genes, proteins, small molecules, or other objects of study can be represented as graphs of nodes (vertices) and interactions (edges) that ...

journal_title：BMC bioinformatics

authors： Forman JJ,Clemons PA,Schreiber SL,Haggarty SJ

更新日期：2005-10-19 00:00:00

abstract：BACKGROUND:An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, thus preventing entry ...

journal_title：BMC bioinformatics

authors： Shen J,Zhang W,Fang H,Perkins R,Tong W,Hong H

更新日期：2013-01-01 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:The Triplex cell vaccine is a cancer cellular vaccine that can prevent almost completely the mammary tumor onset in HER-2/neu transgenic mice. In a translational perspective, the activity of the Triplex vaccine was also investigated against lung metastases showing that the vaccine is an effective treatment a...

journal_title：BMC bioinformatics

authors： Pennisi M,Pappalardo F,Palladini A,Nicoletti G,Nanni P,Lollini PL,Motta S

更新日期：2010-10-15 00:00:00

abstract：BACKGROUND:DNA microarrays offer motivation and hope for the simultaneous study of variations in multiple genes. Gene expression is a temporal process that allows variations in expression levels with a characterized gene function over a period of time. Temporal gene expression curves can be treated as functional data s...

journal_title：BMC bioinformatics

authors： Kim J,Kim H

更新日期：2017-10-12 00:00:00

abstract：BACKGROUND:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

journal_title：BMC bioinformatics

authors： Hughes T,Hyun Y,Liberles DA

更新日期：2004-04-29 00:00:00

abstract：BACKGROUND:In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of genes and/or proteins of an increasing number of organisms. A protein-protein interaction (PPI) network is a particular biological network which...

journal_title：BMC bioinformatics

authors： Turanalp ME,Can T

更新日期：2008-06-11 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 00:00:00