MTAP: the motif tool assessment platform.

abstract：BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

journal_title：BMC bioinformatics

authors： Blei DM,Franks K,Jordan MI,Mian IS

更新日期：2006-05-08 00:00:00

abstract：BACKGROUND:Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple organisms up to higher eukaryotes. Admittedly, a key ingredient in developing a reconstruction method is its ability to integrate heterogeneo...

journal_title：BMC bioinformatics

authors： Veber P,Guziolowski C,Le Borgne M,Radulescu O,Siegel A

更新日期：2008-05-06 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:Data extraction and integration methods are becoming essential to effectively access and take advantage of the huge amounts of heterogeneous genomics and clinical data increasingly available. In this work, we focus on The Cancer Genome Atlas, a comprehensive archive of tumoral data containing the results of ...

journal_title：BMC bioinformatics

authors： Cumbo F,Fiscon G,Ceri S,Masseroli M,Weitschek E

更新日期：2017-01-03 00:00:00

abstract：BACKGROUND:Predicting the deleteriousness of observed genomic variants has taken a step forward with the introduction of the Combined Annotation Dependent Depletion (CADD) approach, which trains a classifier on the wealth of available human genomic information. This raises the question whether it can be done with less ...

journal_title：BMC bioinformatics

authors： Groß C,de Ridder D,Reinders M

更新日期：2018-10-12 00:00:00

abstract：BACKGROUND:The scientific literature contains millions of microbial gene identifiers within the full text and tables, but these annotations rarely get incorporated into public sequence databases. We propose to utilize the Open Access (OA) subset of PubMed Central (PMC) as a gene annotation database and have developed a...

journal_title：BMC bioinformatics

authors： Stubben CJ,Challacombe JF

更新日期：2014-02-05 00:00:00

abstract：BACKGROUND:RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of dif...

journal_title：BMC bioinformatics

authors： Bi R,Liu P

更新日期：2016-03-31 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: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:The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine...

journal_title：BMC bioinformatics

authors： Bujnicki JM,Feder M,Radlinska M,Rychlewski L

更新日期：2001-01-01 00:00:00

abstract：BACKGROUND:Direct in vivo investigation of human metabolism is complicated by the distinct metabolic functions of various sub-cellular organelles. Diverse micro-environments in different organelles may lead to distinct functions of the same protein and the use of different enzymes for the same metabolic reaction. To be...

journal_title：BMC bioinformatics

authors： Hao T,Ma HW,Zhao XM,Goryanin I

更新日期：2010-07-22 00:00:00

abstract：BACKGROUND:Several biological techniques result in the acquisition of functional sets of cDNAs that must be sequenced and analyzed. The emergence of redundant databases such as UniGene and centralized annotation engines such as Entrez Gene has allowed the development of software that can analyze a great number of seque...

journal_title：BMC bioinformatics

authors： Smith RP,Buchser WJ,Lemmon MB,Pardinas JR,Bixby JL,Lemmon VP

更新日期：2008-04-10 00:00:00

abstract：BACKGROUND:Prioritizing genes according to their associations with a cancer allows researchers to explore genes in more informed ways. By far, Gene-centric or network-centric gene prioritization methods are predominated. Genes and their protein products carry out cellular processes in the context of functional modules....

journal_title：BMC bioinformatics

authors： Su L,Liu G,Bai T,Meng X,Ma Q

更新日期：2018-06-05 00:00:00

abstract：BACKGROUND:Transcription factor binding sites (TFBSs) are crucial in the regulation of gene transcription. Recently, chromatin immunoprecipitation followed by cDNA microarray hybridization (ChIP-chip array) has been used to identify potential regulatory sequences, but the procedure can only map the probable protein-DNA...

journal_title：BMC bioinformatics

authors： Lu CC,Yuan WH,Chen TM

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins. RESULTS:In the present work, individual cluste...

journal_title：BMC bioinformatics

authors： Sen TZ,Kloczkowski A,Jernigan RL

更新日期：2006-07-24 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:In the last few years high-throughput analysis methods have become state-of-the-art in the life sciences. One of the latest developments is automated greenhouse systems for high-throughput plant phenotyping. Such systems allow the non-destructive screening of plants over a period of time by means of image ac...

journal_title：BMC bioinformatics

authors： Hartmann A,Czauderna T,Hoffmann R,Stein N,Schreiber F

更新日期：2011-05-12 00:00:00

abstract：BACKGROUND:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

journal_title：BMC bioinformatics

authors： Khan A,Liu Q,Wang K

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:To understand biological processes and diseases, it is crucial to unravel the concerted interplay of transcription factors (TFs), microRNAs (miRNAs) and their targets within regulatory networks and fundamental sub-networks. An integrative computational resource generating a comprehensive view of these regula...

journal_title：BMC bioinformatics

authors： Le Béchec A,Portales-Casamar E,Vetter G,Moes M,Zindy PJ,Saumet A,Arenillas D,Theillet C,Wasserman WW,Lecellier CH,Friederich E

更新日期：2011-03-04 00:00:00

abstract：BACKGROUND:During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the widely used dChip as a microarray analysis software package accessible to both biologist and data analysts. However, challenges arise when dC...

journal_title：BMC bioinformatics

authors： Li C

更新日期：2008-05-08 00:00:00

abstract：BACKGROUND:Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. In pathological situations, the MRS profile changes and this has bee...

journal_title：BMC bioinformatics

authors： Pérez-Ruiz A,Julià-Sapé M,Mercadal G,Olier I,Majós C,Arús C

更新日期：2010-11-29 00:00:00

abstract：BACKGROUND:Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the main bottleneck in routine implementation of high resolution array platforms, and emphasising the need for a centralised and easy to use CNV da...

journal_title：BMC bioinformatics

authors： Vandeweyer G,Reyniers E,Wuyts W,Rooms L,Kooy RF

更新日期：2011-01-05 00:00:00

abstract：BACKGROUND:Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks that are often repre...

journal_title：BMC bioinformatics

authors： Li Z,Safo SE,Long Q

更新日期：2017-07-11 00:00:00

abstract：BACKGROUND:Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic sc...

journal_title：BMC bioinformatics

authors： Falda M,Toppo S,Pescarolo A,Lavezzo E,Di Camillo B,Facchinetti A,Cilia E,Velasco R,Fontana P

更新日期：2012-03-28 00:00:00

abstract：BACKGROUND:The knowledge base-driven pathway analysis is becoming the first choice for many investigators, in that it not only can reduce the complexity of functional analysis by grouping thousands of genes into just several hundred pathways, but also can increase the explanatory power for the experiment by identifying...

journal_title：BMC bioinformatics

authors： Du J,Li M,Yuan Z,Guo M,Song J,Xie X,Chen Y

更新日期：2016-10-06 00:00:00

abstract：BACKGROUND:X-converting enzyme (XCE) involved in nervous control of respiration, is a member of the M13 family of zinc peptidases, for which no natural substrate has been identified yet. In contrast, it's well characterized homologue endothelin-converting enzyme-1 (ECE-1) showed broad substrate specificity and acts as ...

journal_title：BMC bioinformatics

authors： Ul-Haq Z,Iqbal S,Moin ST

更新日期：2012-11-01 00:00:00

abstract：BACKGROUND:Two important challenges in the analysis of molecular biology information are data (multi-omic information) integration and the detection of patterns across large scale molecular networks and sequences. They are are actually coupled beause the integration of omic information may provide better means to detec...

journal_title：BMC bioinformatics

authors： Bardozzo F,Lió P,Tagliaferri R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. Gene profiling studies have been conducted to search for predictive genomic measurements. Genes have the inherent pathway structure, where pat...

journal_title：BMC bioinformatics

authors： Ma S,Kosorok MR

更新日期：2010-01-01 00:00:00

abstract：:Metabolic network alignment is a system scale comparative analysis that discovers important similarities and differences across different metabolisms and organisms. Although the problem of aligning metabolic networks has been considered in the past, the computational complexity of the existing solutions has so far lim...

journal_title：BMC bioinformatics

authors： Ay F,Dang M,Kahveci T

更新日期：2012-03-21 00:00:00

abstract：BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

journal_title：BMC bioinformatics

authors： Pluskal T,Castillo S,Villar-Briones A,Oresic M

更新日期：2010-07-23 00:00:00