Improving ontologies by automatic reasoning and evaluation of logical definitions.

abstract：BACKGROUND:Cellular functions are coordinately carried out by groups of genes forming functional modules. Identifying such modules in the transcriptional regulatory network (TRN) of organisms is important for understanding the structure and function of these fundamental cellular networks and essential for the emerging ...

journal_title：BMC bioinformatics

authors： Ma HW,Buer J,Zeng AP

更新日期：2004-12-16 00:00:00

abstract：BACKGROUND:Gene expression patterns of olfactory receptors (ORs) are an important component of the signal encoding mechanism in the olfactory system since they determine the interactions between odorant ligands and sensory neurons. We have developed the Olfactory Receptor Microarray Database (ORMD) to house OR gene exp...

journal_title：BMC bioinformatics

authors： Liu N,Crasto CJ,Ma M

更新日期：2007-06-30 00:00:00

abstract：BACKGROUND:With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to the traditional one-protein-at-a-time approach. Although there are several publicly available tools that facilitate the analysis of protein set...

journal_title：BMC bioinformatics

authors： Wolting C,McGlade CJ,Tritchler D

更新日期：2006-07-12 00:00:00

abstract：BACKGROUND:Cartilage damage is a crucial feature involved in several pathological conditions characterized by joint disorders, such as osteoarthritis and rheumatoid arthritis. Accumulated evidences showed that Wnt/β-catenin pathway plays a role in the pathogenesis of cartilage damage. In addition, it is experimentally ...

journal_title：BMC bioinformatics

authors： Zhou W,He X,Chen Z,Fan D,Wang Y,Feng H,Zhang G,Lu A,Xiao L

更新日期：2019-07-31 00:00:00

abstract：BACKGROUND:Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large fraction of zero value...

journal_title：BMC bioinformatics

authors： Li Y,Fan TWM,Lane AN,Kang WY,Arnold SM,Stromberg AJ,Wang C,Chen L

更新日期：2019-10-17 00:00:00

abstract：BACKGROUND:We carried out an analysis of intron length conservation across a diverse group of nineteen mammalian species. Motivated by recent research suggesting a role for time delays associated with intron transcription in gene expression oscillations required for early embryonic patterning, we searched for examples ...

journal_title：BMC bioinformatics

authors： Seoighe C,Korir PK

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:Patient records contain valuable information regarding explanation of diagnosis, progression of disease, prescription and/or effectiveness of treatment, and more. Automatic recognition of clinically important concepts and the identification of relationships between those concepts in patient records are preli...

journal_title：BMC bioinformatics

authors： Islamaj Doğan R,Névéol A,Lu Z

更新日期：2011-06-09 00:00:00

abstract：BACKGROUND:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

journal_title：BMC bioinformatics

authors： Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data tables. Missing row values are challenging to deal with because most statistical methods cannot be directly applied to incomplete datasets. To overcome this issue, we propose a multip...

journal_title：BMC bioinformatics

authors： Voillet V,Besse P,Liaubet L,San Cristobal M,González I

更新日期：2016-10-03 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:Fluorescent reporter genes have become widely used for monitoring gene expression in living cells. When a microbial strain carrying a reporter gene is grown in a microplate reader, the fluorescence and the absorbance (optical density) of the culture can be automatically measured every few minutes in a highly...

journal_title：BMC bioinformatics

authors： Martin Y,Page M,Blanchet C,de Jong H

更新日期：2019-06-11 00:00:00

abstract：BACKGROUND:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

journal_title：BMC bioinformatics

authors： Sleep JA,Schreiber AW,Baumann U

更新日期：2013-12-18 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:De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence. However, sequencing errors and repeated subsequences render the identification of the true underlying sequence dif...

journal_title：BMC bioinformatics

authors： Steyaert A,Audenaert P,Fostier J

更新日期：2020-09-14 00:00:00

abstract：BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

journal_title：BMC bioinformatics

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to calculate the distance between the resulting values of each measure. Conventional phylogenetic analysis based on genomic sequences provides inf...

journal_title：BMC bioinformatics

authors： Oh SJ,Joung JG,Chang JH,Zhang BT

更新日期：2006-06-06 00:00:00

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:FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows complex scenarios of selection, demography, and recombination to be modelled simultaneously. Detailed tracking of sites under selection is im...

journal_title：BMC bioinformatics

authors： Chadeau-Hyam M,Hoggart CJ,O'Reilly PF,Whittaker JC,De Iorio M,Balding DJ

更新日期：2008-09-08 00:00:00

abstract：BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

journal_title：BMC bioinformatics

authors： Wang Y,Wu H,Cai Y

更新日期：2018-12-31 00:00:00

abstract：BACKGROUND:Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compound...

journal_title：BMC bioinformatics

authors： Le Guilloux V,Schmidtke P,Tuffery P

更新日期：2009-06-02 00:00:00

abstract：BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 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:The amount of gene expression data available in public repositories has grown exponentially in the last years, now requiring new data mining tools to transform them in information easily accessible to biologists. RESULTS:By exploiting expression data publicly available in the Gene Expression Omnibus (GEO) d...

journal_title：BMC bioinformatics

authors： Cremaschi P,Rovida S,Sacchi L,Lisa A,Calvi F,Montecucco A,Biamonti G,Bione S,Sacchi G

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. RESULTS:We present an R/Bioconductor port of a fast novel algorithm for...

journal_title：BMC bioinformatics

authors： Savage RS,Heller K,Xu Y,Ghahramani Z,Truman WM,Grant M,Denby KJ,Wild DL

更新日期：2009-08-06 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:A common feature of microarray experiments is the occurrence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots and the removal of undefined values when a logarithmic transformation is applied to negative backgro...

journal_title：BMC bioinformatics

authors： Tom BD,Gilks WR,Brooke-Powell ET,Ajioka JW

更新日期：2005-09-26 00:00:00

abstract：BACKGROUND:Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e., spun coat, large microfiber, and medium microfiber). Our analysis of the acquired terabyte-sized c...

journal_title：BMC bioinformatics

authors： Bajcsy P,Yoon S,Florczyk SJ,Hotaling NA,Simon M,Szczypinski PM,Schaub NJ,Simon CG Jr,Brady M,Sriram RD

更新日期：2017-11-28 00:00:00

abstract：BACKGROUND:Innovations in biological and biomedical imaging produce complex high-content and multivariate image data. For decision-making and generation of hypotheses, scientists need novel information technology tools that enable them to visually explore and analyze the data and to discuss and communicate results or f...

journal_title：BMC bioinformatics

authors： Loyek C,Rajpoot NM,Khan M,Nattkemper TW

更新日期：2011-07-21 00:00:00

abstract：BACKGROUND:One of the most crucial steps in high-throughput sequence-based microbiome studies is the taxonomic assignment of sequences belonging to operational taxonomic units (OTUs). Without taxonomic classification, functional and biological information of microbial communities cannot be inferred or interpreted. The ...

journal_title：BMC bioinformatics

authors： Gdanetz K,Benucci GMN,Vande Pol N,Bonito G

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differences in gel migration and sample variability make efficient spot alignment very difficult to obtain, and, as consequence most of the software ...

journal_title：BMC bioinformatics

authors： Pérès S,Molina L,Salvetat N,Granier C,Molina F

更新日期：2008-10-28 00:00:00