phyloXML: XML for evolutionary biology and comparative genomics.

Abstract:

BACKGROUND:Evolutionary trees are central to a wide range of biological studies. In many of these studies, tree nodes and branches need to be associated (or annotated) with various attributes. For example, in studies concerned with organismal relationships, tree nodes are associated with taxonomic names, whereas tree branches have lengths and oftentimes support values. Gene trees used in comparative genomics or phylogenomics are usually annotated with taxonomic information, genome-related data, such as gene names and functional annotations, as well as events such as gene duplications, speciations, or exon shufflings, combined with information related to the evolutionary tree itself. The data standards currently used for evolutionary trees have limited capacities to incorporate such annotations of different data types. RESULTS:We developed a XML language, named phyloXML, for describing evolutionary trees, as well as various associated data items. PhyloXML provides elements for commonly used items, such as branch lengths, support values, taxonomic names, and gene names and identifiers. By using "property" elements, phyloXML can be adapted to novel and unforeseen use cases. We also developed various software tools for reading, writing, conversion, and visualization of phyloXML formatted data. CONCLUSION:PhyloXML is an XML language defined by a complete schema in XSD that allows storing and exchanging the structures of evolutionary trees as well as associated data. More information about phyloXML itself, the XSD schema, as well as tools implementing and supporting phyloXML, is available at http://www.phyloxml.org.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Han MV,Zmasek CM

doi

10.1186/1471-2105-10-356

subject

Has Abstract

pub_date

2009-10-27 00:00:00

pages

356

issn

1471-2105

pii

1471-2105-10-356

journal_volume

10

pub_type

杂志文章
  • FastqPuri: high-performance preprocessing of RNA-seq data.

    abstract:BACKGROUND:RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expres...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2799-0

    authors: Pérez-Rubio P,Lottaz C,Engelmann JC

    更新日期:2019-05-03 00:00:00

  • Inferring the role of transcription factors in regulatory networks.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-228

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

    更新日期:2008-05-06 00:00:00

  • Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles.

    abstract:BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-457

    authors: Meng H,Murrelle EL,Li G

    更新日期:2008-10-27 00:00:00

  • Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks.

    abstract:BACKGROUND:Recently, revealing the function of proteins with protein-protein interaction (PPI) networks is regarded as one of important issues in bioinformatics. With the development of experimental methods such as the yeast two-hybrid method, the data of protein interaction have been increasing extremely. Many databas...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S1-S39

    authors: Monji H,Koizumi S,Ozaki T,Ohkawa T

    更新日期:2011-02-15 00:00:00

  • An algorithm for automated closure during assembly.

    abstract:BACKGROUND:Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can involve targeted sequencing. Finishing reads may be incorporated by manual or automated means. One automated method uses targeted addition by local...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-457

    authors: Koren S,Miller JR,Walenz BP,Sutton G

    更新日期:2010-09-10 00:00:00

  • Tandem repeats discovery service (TReaDS) applied to finding novel cis-acting factors in repeat expansion diseases.

    abstract:BACKGROUND:Tandem repeats are multiple duplications of substrings in the DNA that occur contiguously, or at a short distance, and may involve some mutations (such as substitutions, insertions, and deletions). Tandem repeats have been extensively studied also for their association with the class of repeat expansion dise...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S4-S3

    authors: Pellegrini M,Renda ME,Vecchio A

    更新日期:2012-03-28 00:00:00

  • Modeling the competition between lung metastases and the immune system using agents.

    abstract:BACKGROUND:The Triplex cell vaccine is a cancer cellular vaccine that can prevent almost completely the mammary tumor onset in HER-2/neu transgenic mice. In a translational perspective, the activity of the Triplex vaccine was also investigated against lung metastases showing that the vaccine is an effective treatment a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S7-S13

    authors: Pennisi M,Pappalardo F,Palladini A,Nicoletti G,Nanni P,Lollini PL,Motta S

    更新日期:2010-10-15 00:00:00

  • Snpdat: easy and rapid annotation of results from de novo snp discovery projects for model and non-model organisms.

    abstract:BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-45

    authors: Doran AG,Creevey CJ

    更新日期:2013-02-08 00:00:00

  • Determining significance of pairwise co-occurrences of events in bursty sequences.

    abstract:BACKGROUND:Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of certain transcription factors (TF, types) in a DNA sequence. These events tend to occur in bursts: in some genomic regions there are more genes ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-336

    authors: Haiminen N,Mannila H,Terzi E

    更新日期:2008-08-08 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

  • Evaluation of methods for differential expression analysis on multi-group RNA-seq count data.

    abstract:BACKGROUND:RNA-seq is a powerful tool for measuring transcriptomes, especially for identifying differentially expressed genes or transcripts (DEGs) between sample groups. A number of methods have been developed for this task, and several evaluation studies have also been reported. However, those evaluations so far have...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0794-7

    authors: Tang M,Sun J,Shimizu K,Kadota K

    更新日期:2015-11-04 00:00:00

  • Cloning, analysis and functional annotation of expressed sequence tags from the Earthworm Eisenia fetida.

    abstract:BACKGROUND:Eisenia fetida, commonly known as red wiggler or compost worm, belongs to the Lumbricidae family of the Annelida phylum. Little is known about its genome sequence although it has been extensively used as a test organism in terrestrial ecotoxicology. In order to understand its gene expression response to envi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S7-S7

    authors: Pirooznia M,Gong P,Guan X,Inouye LS,Yang K,Perkins EJ,Deng Y

    更新日期:2007-11-01 00:00:00

  • How large B-factors can be in protein crystal structures.

    abstract:BACKGROUND:Protein crystal structures are potentially over-interpreted since they are routinely refined without any restraint on the upper limit of atomic B-factors. Consequently, some of their atoms, undetected in the electron density maps, are allowed to reach extremely large B-factors, even above 100 square Angstrom...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2083-8

    authors: Carugo O

    更新日期:2018-02-23 00:00:00

  • Detecting transitions in protein dynamics using a recurrence quantification analysis based bootstrap method.

    abstract:BACKGROUND:Proteins undergo conformational transitions over different time scales. These transitions are closely intertwined with the protein's function. Numerous standard techniques such as principal component analysis are used to detect these transitions in molecular dynamics simulations. In this work, we add a new m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1943-y

    authors: Karain WI

    更新日期:2017-11-28 00:00:00

  • Homology induction: the use of machine learning to improve sequence similarity searches.

    abstract:BACKGROUND:The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify approximately 50% of homologies (with a false positive rate set at 1/1000). RESULTS:We present Homology Induction (HI), a new approach to inferring homology. HI uses machine learning to...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-11

    authors: Karwath A,King RD

    更新日期:2002-04-23 00:00:00

  • Integrating diverse biological and computational sources for reliable protein-protein interactions.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) play important roles in various cellular processes. However, the low quality of current PPI data detected from high-throughput screening techniques has diminished the potential usefulness of the data. We need to develop a method to address the high data noise and incomplet...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S7-S8

    authors: Wu M,Li X,Chua HN,Kwoh CK,Ng SK

    更新日期:2010-10-15 00:00:00

  • Inferring functional modules of protein families with probabilistic topic models.

    abstract:BACKGROUND:Genome and metagenome studies have identified thousands of protein families whose functions are poorly understood and for which techniques for functional characterization provide only partial information. For such proteins, the genome context can give further information about their functional context. RESU...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-141

    authors: Konietzny SG,Dietz L,McHardy AC

    更新日期:2011-05-09 00:00:00

  • Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.

    abstract::Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems have recently been illuminated by high-throughput RNA sequencing experiments which are quickly generating large a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S6-S11

    authors: Kakaradov B,Xiong HY,Lee LJ,Jojic N,Frey BJ

    更新日期:2012-04-19 00:00:00

  • Virtual Grid Engine: a simulated grid engine environment for large-scale supercomputers.

    abstract:BACKGROUND:Supercomputers have become indispensable infrastructures in science and industries. In particular, most state-of-the-art scientific results utilize massively parallel supercomputers ranked in TOP500. However, their use is still limited in the bioinformatics field due to the fundamental fact that the asynchro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3085-x

    authors: Ito S,Yadome M,Nishiki T,Ishiduki S,Inoue H,Yamaguchi R,Miyano S

    更新日期:2019-12-02 00:00:00

  • A novel parametric approach to mine gene regulatory relationship from microarray datasets.

    abstract:BACKGROUND:Microarray has been widely used to measure the gene expression level on the genome scale in the current decade. Many algorithms have been developed to reconstruct gene regulatory networks based on microarray data. Unfortunately, most of these models and algorithms focus on global properties of the expression...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S11-S15

    authors: Liu W,Li D,Liu Q,Zhu Y,He F

    更新日期:2010-12-14 00:00:00

  • MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) play several roles in living cells, and computational PPI prediction is a major focus of many researchers. The three-dimensional (3D) structure and binding surface are important for the design of PPI inhibitors. Therefore, rigid body protein-protein docking calculations fo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2073-x

    authors: Hayashi T,Matsuzaki Y,Yanagisawa K,Ohue M,Akiyama Y

    更新日期:2018-05-08 00:00:00

  • Gene ontology based transfer learning for protein subcellular localization.

    abstract:BACKGROUND:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-44

    authors: Mei S,Fei W,Zhou S

    更新日期:2011-02-02 00:00:00

  • KinMap: a web-based tool for interactive navigation through human kinome data.

    abstract:BACKGROUND:Annotations of the phylogenetic tree of the human kinome is an intuitive way to visualize compound profiling data, structural features of kinases or functional relationships within this important class of proteins. The increasing volume and complexity of kinase-related data underlines the need for a tool tha...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1433-7

    authors: Eid S,Turk S,Volkamer A,Rippmann F,Fulle S

    更新日期:2017-01-05 00:00:00

  • Integrating gene expression and GO classification for PCA by preclustering.

    abstract:BACKGROUND:Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per group can then be used to identify interesting GO categories in relation to the experimental settings. However, the expression profiles present...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-158

    authors: De Haan JR,Piek E,van Schaik RC,de Vlieg J,Bauerschmidt S,Buydens LM,Wehrens R

    更新日期:2010-03-26 00:00:00

  • MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.

    abstract:BACKGROUND:Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS:We present Multire...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-240

    authors: Feigelman J,Theis FJ,Marr C

    更新日期:2014-07-11 00:00:00

  • TreeToReads - a pipeline for simulating raw reads from phylogenies.

    abstract:BACKGROUND:Using phylogenomic analysis tools for tracking pathogens has become standard practice in academia, public health agencies, and large industries. Using the same raw read genomic data as input, there are several different approaches being used to infer phylogenetic tree. These include many different SNP pipeli...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1592-1

    authors: McTavish EJ,Pettengill J,Davis S,Rand H,Strain E,Allard M,Timme RE

    更新日期:2017-03-20 00:00:00

  • Functionally specified protein signatures distinctive for each of the different blue copper proteins.

    abstract:BACKGROUND:Proteins having similar functions from different sources can be identified by the occurrence in their sequences, a conserved cluster of amino acids referred to as pattern, motif, signature or fingerprint. The wide usage of protein sequence analysis in par with the growth of databases signifies the importance...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-127

    authors: Giri AV,Anishetty S,Gautam P

    更新日期:2004-09-09 00:00:00

  • GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima.

    abstract:BACKGROUND:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-486

    authors: Shida K

    更新日期:2006-11-04 00:00:00

  • TE-Tracker: systematic identification of transposition events through whole-genome resequencing.

    abstract:BACKGROUND:Transposable elements (TEs) are DNA sequences that are able to move from their location in the genome by cutting or copying themselves to another locus. As such, they are increasingly recognized as impacting all aspects of genome function. With the dramatic reduction in cost of DNA sequencing, it is now poss...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0377-z

    authors: Gilly A,Etcheverry M,Madoui MA,Guy J,Quadrana L,Alberti A,Martin A,Heitkam T,Engelen S,Labadie K,Le Pen J,Wincker P,Colot V,Aury JM

    更新日期:2014-11-19 00:00:00

  • Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1928-x

    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