Scuba: scalable kernel-based gene prioritization.

abstract：BACKGROUND:Integrating data from multiple global assays and curated databases is essential to understand the spatio-temporal interactions within cells. Different experiments measure cellular processes at various widths and depths, while databases contain biological information based on established facts or published da...

journal_title：BMC bioinformatics

authors： Zhang Y,Xuan J,de los Reyes BG,Clarke R,Ressom HW

更新日期：2008-04-21 00:00:00

abstract：BACKGROUND:Although both conservation and correlated mutation (CM) are important information reflecting the different sorts of context in multiple sequence alignment, most of alignment methods use sequence profiles that only represent conservation. There is no general way to represent correlated mutation and incorporat...

journal_title：BMC bioinformatics

authors： Jeong CS,Kim D

更新日期：2010-04-16 00:00:00

abstract：BACKGROUND:Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and...

journal_title：BMC bioinformatics

authors： Liany H,Rajapakse JC,Karuturi RKM

更新日期：2017-12-28 00:00:00

abstract：BACKGROUND:We present a model for tagging gene and protein mentions from text using the probabilistic sequence tagging framework of conditional random fields (CRFs). Conditional random fields model the probability P(t/o) of a tag sequence given an observation sequence directly, and have previously been employed success...

journal_title：BMC bioinformatics

authors： McDonald R,Pereira F

更新日期：2005-01-01 00:00:00

abstract：BACKGROUND:Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray platforms. This substantial repository has been used extensively to characterize changes in gene expression between biological samples, but h...

journal_title：BMC bioinformatics

authors： Robinson TJ,Dinan MA,Dewhirst M,Garcia-Blanco MA,Pearson JL

更新日期：2010-02-25 00:00:00

abstract：BACKGROUND:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 00:00:00

abstract：BACKGROUND:Regulation of gene expression, protein synthesis, replication and assembly of many viruses involve RNA-protein interactions. Although some successful computational tools have been reported to recognize RNA binding sites in proteins, the problem of specificity remains poorly investigated. After the nucleotide...

journal_title：BMC bioinformatics

authors： Fernandez M,Kumagai Y,Standley DM,Sarai A,Mizuguchi K,Ahmad S

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence in complete microbial genomes. Collection of high-quality, automated HGT prediction data based on phylogenetic evidence has previously been im...

journal_title：BMC bioinformatics

authors： Podell S,Gaasterland T,Allen EE

更新日期：2008-10-07 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:While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for ...

journal_title：BMC bioinformatics

authors： Atallah MB,Tandon V,Hiam KJ,Boyce H,Hori M,Atallah W,Spitzer MH,Engleman E,Mallick P

更新日期：2020-08-10 00:00:00

abstract：BACKGROUND:The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, in The Cancer Genome Atlas, collects protein expressions in human cancers and it is a reference reso...

journal_title：BMC bioinformatics

authors： Sardina DS,Micale G,Ferro A,Pulvirenti A,Giugno R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, can be used to predict potential conformational switches; nevertheless, no existent tool can detec...

journal_title：BMC bioinformatics

authors： Clote P,Lou F,Lorenz WA

更新日期：2012-04-12 00:00:00

abstract：BACKGROUND:Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails to capture the temporal evolution of the curves. On the other hand, one can use Gompertz equation to model the temporal behaviors...

journal_title：BMC bioinformatics

authors： Dhruba SR,Rahman A,Rahman R,Ghosh S,Pal R

更新日期：2019-06-20 00:00:00

abstract：BACKGROUND:Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our motivation is inspired by label propagation algorithm and the false positive protein-protein intera...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu J,Liu X,Fan X,Hong Y,Wang Y,Huang Y,Xie M

更新日期：2018-02-08 00:00:00

abstract：BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

journal_title：BMC bioinformatics

authors： Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:High-throughput measurement of transcript intensities using Affymetrix type oligonucleotide microarrays has produced a massive quantity of data during the last decade. Different preprocessing techniques exist to convert the raw signal intensities measured by these chips into gene expression estimates. Althou...

journal_title：BMC bioinformatics

authors： Giorgi FM,Bolger AM,Lohse M,Usadel B

更新日期：2010-11-11 00:00:00

abstract：BACKGROUND:Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when bound to a receptor protein, from among a large set of candidate poses. Des...

journal_title：BMC bioinformatics

authors： Ashtawy HM,Mahapatra NR

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:With the introduction of tissue microarrays (TMAs) researchers can investigate gene and protein expression in tissues on a high-throughput scale. TMAs generate a wealth of data calling for extended, high level data management. Enhanced data analysis and systematic data management are required for traceabilit...

journal_title：BMC bioinformatics

authors： Thallinger GG,Baumgartner K,Pirklbauer M,Uray M,Pauritsch E,Mehes G,Buck CR,Zatloukal K,Trajanoski Z

更新日期：2007-03-07 00:00:00

abstract：BACKGROUND:Protein-protein docking, which aims to predict the structure of a protein-protein complex from its unbound components, remains an unresolved challenge in structural bioinformatics. An important step is the ranking of docked poses using a scoring function, for which many methods have been developed. There is ...

journal_title：BMC bioinformatics

authors： Moal IH,Torchala M,Bates PA,Fernández-Recio J

更新日期：2013-10-01 00:00:00

abstract：BACKGROUND:Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways. Among these, metabolic networks are probably the most studied, as t...

journal_title：BMC bioinformatics

authors： Manipur I,Granata I,Maddalena L,Guarracino MR

更新日期：2020-08-21 00:00:00

abstract：BACKGROUND:Structural interaction frequency matrices between all genome loci are now experimentally achievable thanks to high-throughput chromosome conformation capture technologies. This ensues a new methodological challenge for computational biology which consists in objectively extracting from these data the structu...

journal_title：BMC bioinformatics

authors： Boulos RE,Tremblay N,Arneodo A,Borgnat P,Audit B

更新日期：2017-04-11 00:00:00

abstract：BACKGROUND:REX1 and REX2 are protein components of the RNA editing complex (the editosome) and function as exouridylylases. The exact roles of REX1 and REX2 in the editosome are unclear and the consequences of the presence of two related proteins are not fully understood. Here, a variety of computational studies were p...

journal_title：BMC bioinformatics

authors： Mian IS,Worthey EA,Salavati R

更新日期：2006-06-16 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:Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN. Howeve...

journal_title：BMC bioinformatics

authors： Lo LY,Wong ML,Lee KH,Leung KS

更新日期：2015-11-25 00:00:00

abstract：BACKGROUND:Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exact noise characteristics are unknown in many bioinformatics applications. Furthermore, the observed ...

journal_title：BMC bioinformatics

authors： Ahdesmäki M,Lähdesmäki H,Pearson R,Huttunen H,Yli-Harja O

更新日期：2005-05-13 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:Gene expression experiments are common in molecular biology, for example in order to identify genes which play a certain role in a specified biological framework. For that purpose expression levels of several thousand genes are measured simultaneously using DNA microarrays. Comparing two distinct groups of t...

journal_title：BMC bioinformatics

authors： Jung K,Friede T,Beissbarth T

更新日期：2011-07-15 00:00:00

abstract：BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...

journal_title：BMC bioinformatics

authors： Shaw GT,Pao YY,Wang D

更新日期：2016-11-25 00:00:00

abstract：BACKGROUND:Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is more than fifty percent. Therefore, having the right information at the r...

journal_title：BMC bioinformatics

authors： Nasiri S,Helsper J,Jung M,Fathi M

更新日期：2020-03-11 00:00:00

abstract：BACKGROUND:Throughout the metazoan lineage, typically gonadal expressed Piwi proteins and their guiding piRNAs (~26-32nt in length) form a protective mechanism of RNA interference directed against the propagation of transposable elements (TEs). Most piRNAs are generated from genomic piRNA clusters. Annotation of experi...

journal_title：BMC bioinformatics

authors： Rosenkranz D,Zischler H

更新日期：2012-01-10 00:00:00