Quartet decomposition server: a platform for analyzing phylogenetic trees.

Abstract:

BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially in phylogenomic analyses. Decomposition of gene trees into embedded quartets (unrooted trees each with four taxa) is a convenient and statistically powerful technique to address this challenging problem. This approach was shown to be useful in several studies of completely sequenced microbial genomes. RESULTS:We present here a web server that takes a collection of gene phylogenies, decomposes them into quartets, generates a Quartet Spectrum, and draws a split network. Users are also provided with various data download options for further analyses. Each gene phylogeny is to be represented by an assessment of phylogenetic information content, such as sets of trees reconstructed from bootstrap replicates or sampled from a posterior distribution. The Quartet Decomposition server is accessible at http://quartets.uga.edu. CONCLUSIONS:The Quartet Decomposition server presented here provides a convenient means to perform Quartet Decomposition analyses and will empower users to find statistically supported phylogenetic conflicts.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

doi

10.1186/1471-2105-13-123

subject

Has Abstract

pub_date

2012-06-07 00:00:00

pages

123

issn

1471-2105

pii

1471-2105-13-123

journal_volume

13

pub_type

杂志文章
  • BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data.

    abstract:BACKGROUND:The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few years, especially of deep learning based approaches. Recently, the deep forest model has been proposed a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2095-4

    authors: Guo Y,Liu S,Li Z,Shang X

    更新日期:2018-04-11 00:00:00

  • Recodon: coalescent simulation of coding DNA sequences with recombination, migration and demography.

    abstract:BACKGROUND:Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-458

    authors: Arenas M,Posada D

    更新日期:2007-11-20 00:00:00

  • BISR-RNAseq: an efficient and scalable RNAseq analysis workflow with interactive report generation.

    abstract:BACKGROUND:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3251-1

    authors: Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

    更新日期:2019-12-20 00:00:00

  • Prediction of heart disease and classifiers' sensitivity analysis.

    abstract:BACKGROUND:Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives. In this paper, a comparative analysis of different classifiers was performed for the classi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03626-y

    authors: Almustafa KM

    更新日期:2020-07-02 00:00:00

  • Deconvolution of gene expression from cell populations across the C. elegans lineage.

    abstract:BACKGROUND:Knowledge of when and in which cells each gene is expressed across multicellular organisms is critical in understanding both gene function and regulation of cell type diversity. However, methods for measuring expression typically involve a trade-off between imaging-based methods, which give the precise locat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-204

    authors: Burdick JT,Murray JI

    更新日期:2013-06-22 00:00:00

  • SpectralNET--an application for spectral graph analysis and visualization.

    abstract:BACKGROUND:Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks of genes, proteins, small molecules, or other objects of study can be represented as graphs of nodes (vertices) and interactions (edges) that ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-260

    authors: Forman JJ,Clemons PA,Schreiber SL,Haggarty SJ

    更新日期:2005-10-19 00:00:00

  • SegCorr a statistical procedure for the detection of genomic regions of correlated expression.

    abstract:BACKGROUND:Detecting local correlations in expression between neighboring genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional deregulation in cancer. It has been successfully used to illustrate the role of mechanisms such as copy number variation (CNV) or epigene...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1742-5

    authors: Delatola EI,Lebarbier E,Mary-Huard T,Radvanyi F,Robin S,Wong J

    更新日期:2017-07-11 00:00:00

  • Identification of conserved gene clusters in multiple genomes based on synteny and homology.

    abstract:BACKGROUND:Uncovering the relationship between the conserved chromosomal segments and the functional relatedness of elements within these segments is an important question in computational genomics. We build upon the series of works on gene teams and homology teams. RESULTS:Our primary contribution is a local sliding-...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S9-S18

    authors: Sarkar A,Soueidan H,Nikolski M

    更新日期:2011-10-05 00:00:00

  • Texture based skin lesion abruptness quantification to detect malignancy.

    abstract:BACKGROUND:Abruptness of pigment patterns at the periphery of a skin lesion is one of the most important dermoscopic features for detection of malignancy. In current clinical setting, abrupt cutoff of a skin lesion determined by an examination of a dermatologist. This process is subjective, nonquantitative, and error-p...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1892-5

    authors: Erol R,Bayraktar M,Kockara S,Kaya S,Halic T

    更新日期:2017-12-28 00:00:00

  • CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.

    abstract:BACKGROUND:Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-429

    authors: Baumbach J

    更新日期:2007-11-06 00:00:00

  • Ab-origin: an enhanced tool to identify the sourcing gene segments in germline for rearranged antibodies.

    abstract:BACKGROUND:In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segments in the germline. Partitioning the functional antibody sequences to their sourcing germline gene segments is vital not only for understanding...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S12-S20

    authors: Wang X,Wu D,Zheng S,Sun J,Tao L,Li Y,Cao Z

    更新日期:2008-12-12 00:00:00

  • A global optimization algorithm for protein surface alignment.

    abstract:BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-488

    authors: Bertolazzi P,Guerra C,Liuzzi G

    更新日期:2010-09-29 00:00:00

  • Localizing triplet periodicity in DNA and cDNA sequences.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-550

    authors: Wang L,Stein LD

    更新日期:2010-11-08 00:00:00

  • Detecting lateral gene transfers by statistical reconciliation of phylogenetic forests.

    abstract:BACKGROUND:To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Phylogenetic methods are particularly promising for this purpose, but the reconciliation of a gene tree with a reference (species) tree is compu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-324

    authors: Abby SS,Tannier E,Gouy M,Daubin V

    更新日期:2010-06-15 00:00:00

  • Prior knowledge guided eQTL mapping for identifying candidate genes.

    abstract:BACKGROUND:Expression quantitative trait loci (eQTL) mapping is often used to identify genetic loci and candidate genes correlated with traits. Although usually a group of genes affect complex traits, genes in most eQTL mapping methods are considered as independent. Recently, some eQTL mapping methods have accounted fo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1387-9

    authors: Wang Y,Richard R,Pan Y

    更新日期:2016-12-13 00:00:00

  • Ranking analysis of F-statistics for microarray data.

    abstract:BACKGROUND:Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, identification of genes differentially expressed in microarray experiments is challenging because of their potentially high type I error rate. Me...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-142

    authors: Tan YD,Fornage M,Xu H

    更新日期:2008-03-06 00:00:00

  • Information extraction from full text scientific articles: where are the keywords?

    abstract:BACKGROUND:To date, many of the methods for information extraction of biological information from scientific articles are restricted to the abstract of the article. However, full text articles in electronic version, which offer larger sources of data, are currently available. Several questions arise as to whether the e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-20

    authors: Shah PK,Perez-Iratxeta C,Bork P,Andrade MA

    更新日期:2003-05-29 00:00:00

  • Visualization methods for statistical analysis of microarray clusters.

    abstract:BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-115

    authors: Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

    更新日期:2005-05-12 00:00:00

  • RECOVIR: an application package to automatically identify some single stranded RNA viruses using capsid protein residues that uniquely distinguish among these viruses.

    abstract:BACKGROUND:Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in uncharacterized target capsid sequences is essential for epidemiology, diagnostics, and vaccine development. Strain recognition based on similar...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-379

    authors: Zhu D,Fox GE,Chakravarty S

    更新日期:2007-10-10 00:00:00

  • DeepQA: improving the estimation of single protein model quality with deep belief networks.

    abstract:BACKGROUND:Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1405-y

    authors: Cao R,Bhattacharya D,Hou J,Cheng J

    更新日期:2016-12-05 00:00:00

  • Anatomy of enzyme channels.

    abstract:BACKGROUND:Enzyme active sites can be connected to the exterior environment by one or more channels passing through the protein. Despite our current knowledge of enzyme structure and function, surprisingly little is known about how often channels are present or about any structural features such channels may have in co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0379-x

    authors: Pravda L,Berka K,Svobodová Vařeková R,Sehnal D,Banáš P,Laskowski RA,Koča J,Otyepka M

    更新日期:2014-11-18 00:00:00

  • Verification and validation of bioinformatics software without a gold standard: a case study of BWA and Bowtie.

    abstract:BACKGROUND:Bioinformatics software quality assurance is essential in genomic medicine. Systematic verification and validation of bioinformatics software is difficult because it is often not possible to obtain a realistic "gold standard" for systematic evaluation. Here we apply a technique that originates from the softw...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S16-S15

    authors: Giannoulatou E,Park SH,Humphreys DT,Ho JW

    更新日期:2014-01-01 00:00:00

  • Automated peptide mapping and protein-topographical annotation of proteomics data.

    abstract:BACKGROUND:In quantitative proteomics, peptide mapping is a valuable approach to combine positional quantitative information with topographical and domain information of proteins. Quantitative proteomic analysis of cell surface shedding is an exemplary application area of this approach. RESULTS:We developed ImproViser...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-207

    authors: Videm P,Gunasekaran D,Schröder B,Mayer B,Biniossek ML,Schilling O

    更新日期:2014-06-19 00:00:00

  • XenofilteR: computational deconvolution of mouse and human reads in tumor xenograft sequence data.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2353-5

    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

  • Unsupervised fuzzy pattern discovery in gene expression data.

    abstract:BACKGROUND:Discovering patterns from gene expression levels is regarded as a classification problem when tissue classes of the samples are given and solved as a discrete-data problem by discretizing the expression levels of each gene into intervals maximizing the interdependence between that gene and the class labels. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S5-S5

    authors: Wu GP,Chan KC,Wong AK

    更新日期:2011-01-01 00:00:00

  • Knowledge discovery of drug data on the example of adverse reaction prediction.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S6-S7

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

    更新日期:2014-01-01 00:00:00

  • MPD: multiplex primer design for next-generation targeted sequencing.

    abstract:BACKGROUND:Targeted resequencing offers a cost-effective alternative to whole-genome and whole-exome sequencing when investigating regions known to be associated with a trait or disease. There are a number of approaches to targeted resequencing, including microfluidic PCR amplification, which may be enhanced by multipl...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1453-3

    authors: Wingo TS,Kotlar A,Cutler DJ

    更新日期:2017-01-05 00:00:00

  • ElTetrado: a tool for identification and classification of tetrads and quadruplexes.

    abstract:BACKGROUND:Quadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3385-1

    authors: Zok T,Popenda M,Szachniuk M

    更新日期:2020-01-31 00:00:00

  • BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus.

    abstract:BACKGROUND:Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environmen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3042-8

    authors: Staunton PM,Miranda-CasoLuengo AA,Loftus BJ,Gormley IC

    更新日期:2019-09-10 00:00:00

  • Multi-omic analysis of signalling factors in inflammatory comorbidities.

    abstract:BACKGROUND:Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of inflammatory diseases is often the culmination of a long series of pathologic events that started years before. The systemic characteristics and relate...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2413-x

    authors: Xiao H,Bartoszek K,Lio' P

    更新日期:2018-11-30 00:00:00