CONSTAX: a tool for improved taxonomic resolution of environmental fungal ITS sequences.

abstract：BACKGROUND:Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the qua...

journal_title：BMC bioinformatics

authors： Yuan Y,Bayer PE,Scheben A,Chan CK,Edwards D

更新日期：2017-06-30 00:00:00

abstract：BACKGROUND:Decreasing costs of DNA sequencing have made prokaryotic draft genome sequences increasingly common. A contig scaffold is an ordering of contigs in the correct orientation. A scaffold can help genome comparisons and guide gap closure efforts. One popular technique for obtaining contig scaffolds is to map con...

journal_title：BMC bioinformatics

authors： Dias Z,Dias U,Setubal JC

更新日期：2012-05-14 00:00:00

abstract：BACKGROUND:Recently, the availability of high-resolution microscopy together with the advancements in the development of biomarkers as reporters of biomolecular interactions increased the importance of imaging methods in molecular cell biology. These techniques enable the investigation of cellular characteristics like ...

journal_title：BMC bioinformatics

authors： Stoma S,Fröhlich M,Gerber S,Klipp E

更新日期：2011-04-28 00:00:00

abstract：BACKGROUND:Antibiotics are the widely prescribed drugs for children and most likely to be related with adverse reactions. Record on adverse reactions and allergies from antibiotics considerably affect the prescription choices. We consider this a biomedical decision-making problem and explore hidden knowledge in survey ...

journal_title：BMC bioinformatics

authors： Yildirim P,Majnarić L,Ekmekci O,Holzinger A

更新日期：2014-01-01 00:00:00

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:Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that one has to face are integrity, consistency, redundancy, connectivity, expressiveness and updatability. DESCRIPTION:Here we present...

journal_title：BMC bioinformatics

authors： Birkland A,Yona G

更新日期：2006-02-15 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:Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports that prokaryotic gene finder programs have problems with small genes (either over-predicting or under-predicting). Therefore the question ari...

journal_title：BMC bioinformatics

authors： Warren AS,Archuleta J,Feng WC,Setubal JC

更新日期：2010-03-15 00:00:00

abstract：BACKGROUND:The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available information. Computational methods for the prioritization of candidate genes can h...

journal_title：BMC bioinformatics

authors： Zampieri G,Tran DV,Donini M,Navarin N,Aiolli F,Sperduti A,Valle G

更新日期：2018-01-25 00:00:00

abstract：BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

journal_title：BMC bioinformatics

authors： Jo Y,Kim S,Lee D

更新日期：2018-06-13 00:00:00

abstract：BACKGROUND:Data are the evidentiary basis for scientific hypotheses, analyses and publication, for policy formation and for decision-making. They are essential to the evaluation and testing of results by peer scientists both present and future. There is broad consensus in the scientific and conservation communities tha...

journal_title：BMC bioinformatics

authors： Moritz T,Krishnan S,Roberts D,Ingwersen P,Agosti D,Penev L,Cockerill M,Chavan V,Data Publishing Framework Task Group.

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...

journal_title：BMC bioinformatics

authors： Tsai RT,Chou WC,Su YS,Lin YC,Sung CL,Dai HJ,Yeh IT,Ku W,Sung TY,Hsu WL

更新日期：2007-09-01 00:00:00

abstract：BACKGROUND:The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, an...

journal_title：BMC bioinformatics

authors： Tsugawa H,Tsujimoto Y,Arita M,Bamba T,Fukusaki E

更新日期：2011-05-04 00:00:00

abstract：BACKGROUND:In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datas...

journal_title：BMC bioinformatics

authors： Anvar SY,'t Hoen PA,Tucker A

更新日期：2010-01-15 00:00:00

abstract：BACKGROUND:With the ever increasing use of computational models in the biosciences, the need to share models and reproduce the results of published studies efficiently and easily is becoming more important. To this end, various standards have been proposed that can be used to describe models, simulations, data or other...

journal_title：BMC bioinformatics

authors： Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novère N

更新日期：2014-12-14 00:00:00

abstract：BACKGROUND:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

journal_title：BMC bioinformatics

authors： Li B,Dewey CN

更新日期：2011-08-04 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:Most known eukaryotic genomes contain mobile copied elements called transposable elements. In some species, these elements account for the majority of the genome sequence. They have been subject to many mutations and other genomic events (copies, deletions, captures) during transposition. The identification ...

journal_title：BMC bioinformatics

authors： Tempel S,Rousseau C,Tahi F,Nicolas J

更新日期：2010-09-22 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:Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene e...

journal_title：BMC bioinformatics

authors： Müller HG,Chiou JM,Leng X

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:We present the algorithm PFClust (Parameter Free Clustering), which is able automatically to cluster data and identify a suitable number of clusters to group them into without requiring any parameters to be specified by the user. The algorithm partitions a dataset into a number of clusters that share some co...

journal_title：BMC bioinformatics

authors： Mavridis L,Nath N,Mitchell JB

更新日期：2013-07-03 00:00:00

abstract：BACKGROUND:Protein remote homology detection is one of the central problems in bioinformatics, which is important for both basic research and practical application. Currently, discriminative methods based on Support Vector Machines (SVMs) achieve the state-of-the-art performance. Exploring feature vectors incorporating...

journal_title：BMC bioinformatics

authors： Liu B,Xu J,Zou Q,Xu R,Wang X,Chen Q

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes ...

journal_title：BMC bioinformatics

authors： Chang HC,Chu CP,Lin SJ,Hsiao CK

更新日期：2020-03-12 00:00:00

abstract：BACKGROUND:Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channels being compared. Any step in a microarray process may introduce such offsets and in this article we study the biases introduced by the micro...

journal_title：BMC bioinformatics

authors： Bengtsson H,Jönsson G,Vallon-Christersson J

更新日期：2004-11-12 00:00:00

abstract：BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

journal_title：BMC bioinformatics

authors： Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:GmrSD is a modification-dependent restriction endonuclease that specifically targets and cleaves glucosylated hydroxymethylcytosine (glc-HMC) modified DNA. It is encoded either as two separate single-domain GmrS and GmrD proteins or as a single protein carrying both domains. Previous studies suggested that G...

journal_title：BMC bioinformatics

authors： Machnicka MA,Kaminska KH,Dunin-Horkawicz S,Bujnicki JM

更新日期：2015-10-23 00:00:00

abstract：BACKGROUND:A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For this purpose genome-wide identification of bimodally expressed genes from gene array data is relevant because distinguishability of high and lo...

journal_title：BMC bioinformatics

authors： Hellwig B,Hengstler JG,Schmidt M,Gehrmann MC,Schormann W,Rahnenführer J

更新日期：2010-05-25 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:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:Most human genes produce several transcripts with different exon contents by using alternative promoters, alternative polyadenylation sites and alternative splice sites. Much effort has been devoted to describing known gene transcripts through the development of numerous databases. Nevertheless, owing to the...

journal_title：BMC bioinformatics

authors： de la Grange P,Dutertre M,Correa M,Auboeuf D

更新日期：2007-06-04 00:00:00