Bayesian inference of biochemical kinetic parameters using the linear noise approximation.

abstract：BACKGROUND:The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant calling is widely used in disease research, clinical treatment and medicine research. However, current mainstream variant caller tools have a serious pro...

journal_title：BMC bioinformatics

authors： Xiao A,Wu Z,Dong S

更新日期：2019-02-14 00:00:00

abstract：BACKGROUND:Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, correlated signals can result from technical deficiencies like hybridization of reporters with off-target transcripts. An approach that is able to...

journal_title：BMC bioinformatics

authors： Casneuf T,Van de Peer Y,Huber W

更新日期：2007-11-26 00:00:00

abstract：BACKGROUND:Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated comp...

journal_title：BMC bioinformatics

authors： Westreich ST,Korf I,Mills DA,Lemay DG

更新日期：2016-09-29 00:00:00

abstract：BACKGROUND:Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, can offer different definitions. In a previous study, we defined a structural alphabet composed of 16 average protein fragments, which we call...

journal_title：BMC bioinformatics

authors： Fourrier L,Benros C,de Brevern AG

更新日期：2004-05-12 00:00:00

abstract：BACKGROUND:Pattern matching is the core of bioinformatics; it is used in database searching, restriction enzyme mapping, and finding open reading frames. It is done repeatedly over increasingly long sequences, thus codes must be efficient and insensitive to sequence length. Such patterns of interest include simple moti...

journal_title：BMC bioinformatics

authors： Mangalam HJ

更新日期：2002-01-01 00:00:00

abstract：BACKGROUND:Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. RESULTS:He...

journal_title：BMC bioinformatics

authors： Sanli K,Karlsson FH,Nookaew I,Nielsen J

更新日期：2013-02-01 00:00:00

abstract：BACKGROUND:Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysis. Standard outlier detection...

journal_title：BMC bioinformatics

authors： Kruppa J,Jung K

更新日期：2017-05-02 00:00:00

abstract：BACKGROUND:Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. Finding cis-regulatory elements in higher eukaryote genomes, however, remains a challenge, as searching in the promoter regions of genes with ...

journal_title：BMC bioinformatics

authors： Kim RS,Ji H,Wong WH

更新日期：2006-01-26 00:00:00

abstract：BACKGROUND:Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure ...

journal_title：BMC bioinformatics

authors： Tharatipyakul A,Numnark S,Wichadakul D,Ingsriswang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Time- and dose-to-event phenotypes used in basic science and translational studies are commonly measured imprecisely or incompletely due to limitations of the experimental design or data collection schema. For example, drug-induced toxicities are not reported by the actual time or dose triggering the event, ...

journal_title：BMC bioinformatics

authors： Li Z,Lin J,Sibley AB,Truong T,Chua KC,Jiang Y,McCarthy J,Kroetz DL,Allen A,Owzar K

更新日期：2019-05-28 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:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

journal_title：BMC bioinformatics

authors： Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

更新日期：2020-02-17 00:00:00

abstract：BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

journal_title：BMC bioinformatics

authors： Jin B,Muller B,Zhai C,Lu X

更新日期：2008-12-08 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:The advent of array-based genome-wide DNA methylation methods has enabled quantitative measurement of single CpG methylation status at relatively low cost and sample input. Whereas the use of Infinium Human Methylation BeadChips has shown great utility in clinical studies, no equivalent tool is available for...

journal_title：BMC bioinformatics

authors： Needhamsen M,Ewing E,Lund H,Gomez-Cabrero D,Harris RA,Kular L,Jagodic M

更新日期：2017-11-15 00:00:00

abstract：BACKGROUND:Emerging and re-emerging infectious diseases such as Zika, SARS, ncovid19 and Pertussis, pose a compelling challenge for epidemiologists due to their significant impact on global public health. In this context, computational models and computer simulations are one of the available research tools that epidemi...

journal_title：BMC bioinformatics

authors： Castagno P,Pernice S,Ghetti G,Povero M,Pradelli L,Paolotti D,Balbo G,Sereno M,Beccuti M

更新日期：2020-09-16 00:00:00

abstract：BACKGROUND:Contact-guided protein structure prediction methods are becoming more and more successful because of the latest advances in residue-residue contact prediction. To support contact-driven structure prediction, effective tools that can quickly build tertiary structural models of good quality from predicted cont...

journal_title：BMC bioinformatics

authors： Adhikari B,Cheng J

更新日期：2018-01-25 00:00:00

abstract：BACKGROUND:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

journal_title：BMC bioinformatics

authors： Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

更新日期：2018-10-04 00:00:00

abstract：BACKGROUND:The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is d...

journal_title：BMC bioinformatics

authors： Wang L,Stein LD

更新日期：2010-11-08 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 real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all reactions, and precision may suffer if this condition is not met. Nonlinear regression analysis (NLR) or curve fitting has therefore been sugges...

journal_title：BMC bioinformatics

authors： Goll R,Olsen T,Cui G,Florholmen J

更新日期：2006-03-03 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:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

journal_title：BMC bioinformatics

authors： Chung NC,Miasojedow B,Startek M,Gambin A

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:Substitution matrices are key parameters for the alignment of two protein sequences, and consequently for most comparative genomics studies. The composition of biological sequences can vary importantly between species and groups of species, and classical matrices such as those in the BLOSUM series fail to ac...

journal_title：BMC bioinformatics

authors： Lemaitre C,Barré A,Citti C,Tardy F,Thiaucourt F,Sirand-Pugnet P,Thébault P

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:Identifying similarities between patterns of differential gene expression provides an opportunity to identify similarities between the experimental and biological conditions that give rise to these gene expression alterations. The growing volume of gene expression data in open data repositories such as the N...

journal_title：BMC bioinformatics

authors： Gower AC,Spira A,Lenburg ME

更新日期：2011-09-27 00:00:00

abstract：BACKGROUND:Searching for similar compounds in a database is the most important process for in-silico drug screening. Since a query compound is an important starting point for the new drug, a query holder, who is afraid of the query being monitored by the database server, usually downloads all the records in the databas...

journal_title：BMC bioinformatics

authors： Shimizu K,Nuida K,Arai H,Mitsunari S,Attrapadung N,Hamada M,Tsuda K,Hirokawa T,Sakuma J,Hanaoka G,Asai K

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

journal_title：BMC bioinformatics

authors： Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

更新日期：2020-05-29 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:Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze t...

journal_title：BMC bioinformatics

authors： Lopes Ide O,Schliep A,de Carvalho AC

更新日期：2014-05-02 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