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 and therefore potentially more binding sites, while in some, possibly very long regions, hardly any events occur. Also some types of events may occur in the sequence more often than others. Tendencies of co-occurrence of binding sites of two or more TFs are interesting, as they may imply a co-operative role between the TFs in regulatory processes. Determining a numerical value to summarize the tendency for co-occurrence between two TFs can be done in a number of ways. However, testing for the significance of such values should be done with respect to a relevant null model that takes into account the global sequence structure. RESULTS:We extend the existing techniques that have been considered for determining the significance of co-occurrence patterns between a pair of event types under different null models. These models range from very simple ones to more complex models that take the burstiness of sequences into account. We evaluate the models and techniques on synthetic event sequences, and on real data consisting of potential transcription factor binding sites. CONCLUSION:We show that simple null models are poorly suited for bursty data, and they yield many false positives. More sophisticated models give better results in our experiments. We also demonstrate the effect of the window size, i.e., maximum co-occurrence distance, on the significance results.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Haiminen N,Mannila H,Terzi E

doi

10.1186/1471-2105-9-336

subject

Has Abstract

pub_date

2008-08-08 00:00:00

pages

336

issn

1471-2105

pii

1471-2105-9-336

journal_volume

9

pub_type

杂志文章
  • Use of a multi-way method to analyze the amino acid composition of a conserved group of orthologous proteins in prokaryotes.

    abstract:BACKGROUND:Amino acids in proteins are not used equally. Some of the differences in the amino acid composition of proteins are between species (mainly due to nucleotide composition and lifestyle) and some are between proteins from the same species (related to protein function, expression or subcellular localization, fo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-257

    authors: Pasamontes A,Garcia-Vallve S

    更新日期:2006-05-18 00:00:00

  • Logical development of the cell ontology.

    abstract:BACKGROUND:The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology computable, we can use automated reasoners to detect errors and ass...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-6

    authors: Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD

    更新日期:2011-01-05 00:00:00

  • Indicators for the Data Usage Index (DUI): an incentive for publishing primary biodiversity data through global information infrastructure.

    abstract:BACKGROUND:A professional recognition mechanism is required to encourage expedited publishing of an adequate volume of 'fit-for-use' biodiversity data. As a component of such a recognition mechanism, we propose the development of the Data Usage Index (DUI) to demonstrate to data publishers that their efforts of creatin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S15-S3

    authors: Ingwersen P,Chavan V

    更新日期:2011-01-01 00:00:00

  • A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions.

    abstract:BACKGROUND:One very important functional domain of proteins is the protein-protein interacting region (PPIR), which forms the binding interface between interacting polypeptide chains. Post-translational modifications (PTMs) that occur in the PPIR can either interfere with or facilitate the interaction between proteins....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1165-8

    authors: Saethang T,Payne DM,Avihingsanon Y,Pisitkun T

    更新日期:2016-08-17 00:00:00

  • Gene expression profiling of breast cancer survivability by pooled cDNA microarray analysis using logistic regression, artificial neural networks and decision trees.

    abstract:BACKGROUND:Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-100

    authors: Chou HL,Yao CT,Su SL,Lee CY,Hu KY,Terng HJ,Shih YW,Chang YT,Lu YF,Chang CW,Wahlqvist ML,Wetter T,Chu CM

    更新日期:2013-03-19 00:00:00

  • Enhanced JBrowse plugins for epigenomics data visualization.

    abstract:BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2160-z

    authors: Hofmeister BT,Schmitz RJ

    更新日期:2018-04-25 00:00:00

  • 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 b...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-356

    authors: Han MV,Zmasek CM

    更新日期:2009-10-27 00:00:00

  • The ontology of biological sequences.

    abstract:BACKGROUND:Biological sequences play a major role in molecular and computational biology. They are studied as information-bearing entities that make up DNA, RNA or proteins. The Sequence Ontology, which is part of the OBO Foundry, contains descriptions and definitions of sequences and their properties. Yet the most bas...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-377

    authors: Hoehndorf R,Kelso J,Herre H

    更新日期:2009-11-18 00:00:00

  • Identification and utilization of inter-species conserved (ISC) probesets on Affymetrix human GeneChip platforms for the optimization of the assessment of expression patterns in non human primate (NHP) samples.

    abstract:BACKGROUND:While researchers have utilized versions of the Affymetrix human GeneChip for the assessment of expression patterns in non human primate (NHP) samples, there has been no comprehensive sequence analysis study undertaken to demonstrate that the probe sequences designed to detect human transcripts are reliably ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-165

    authors: Wang Z,Lewis MG,Nau ME,Arnold A,Vahey MT

    更新日期:2004-10-26 00:00:00

  • Evaluation of gene importance in microarray data based upon probability of selection.

    abstract:BACKGROUND:Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many important diseases can be traced down to the gene level, a long-standing research problem is to identify specific gene expression patterns linking t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-67

    authors: Fu LM,Fu-Liu CS

    更新日期:2005-03-22 00:00:00

  • A novel statistical approach for identification of the master regulator transcription factor.

    abstract:BACKGROUND:Transcription factors are known to play key roles in carcinogenesis and therefore, are gaining popularity as potential therapeutic targets in drug development. A 'master regulator' transcription factor often appears to control most of the regulatory activities of the other transcription factors and the assoc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1499-x

    authors: Sikdar S,Datta S

    更新日期:2017-02-02 00:00:00

  • HMMvar-func: a new method for predicting the functional outcome of genetic variants.

    abstract:BACKGROUND:Numerous tools have been developed to predict the fitness effects (i.e., neutral, deleterious, or beneficial) of genetic variants on corresponding proteins. However, prediction in terms of whether a variant causes the variant bearing protein to lose the original function or gain new function is also needed f...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0781-z

    authors: Liu M,Watson LT,Zhang L

    更新日期:2015-10-30 00:00:00

  • Linear space string correction algorithm using the Damerau-Levenshtein distance.

    abstract:BACKGROUND:The Damerau-Levenshtein (DL) distance metric has been widely used in the biological science. It tries to identify the similar region of DNA,RNA and protein sequences by transforming one sequence to the another using the substitution, insertion, deletion and transposition operations. Lowrance and Wagner have ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3184-8

    authors: Zhao C,Sahni S

    更新日期:2020-12-09 00:00:00

  • Fast and robust group-wise eQTL mapping using sparse graphical models.

    abstract:BACKGROUND:Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression tra...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0421-z

    authors: Cheng W,Shi Y,Zhang X,Wang W

    更新日期:2015-01-16 00:00:00

  • Recursive model for dose-time responses in pharmacological studies.

    abstract:BACKGROUND:Clinical studies often track dose-response curves of subjects over time. One can easily model the dose-response curve at each time point with Hill equation, but such a model fails to capture the temporal evolution of the curves. On the other hand, one can use Gompertz equation to model the temporal behaviors...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2831-4

    authors: Dhruba SR,Rahman A,Rahman R,Ghosh S,Pal R

    更新日期:2019-06-20 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

  • Combining calls from multiple somatic mutation-callers.

    abstract:BACKGROUND:Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperfor...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-154

    authors: Kim SY,Jacob L,Speed TP

    更新日期:2014-05-21 00:00:00

  • GeneBins: a database for classifying gene expression data, with application to plant genome arrays.

    abstract:BACKGROUND:To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. RESULTS:We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-87

    authors: Goffard N,Weiller G

    更新日期:2007-03-12 00:00:00

  • Correction to: Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage.

    abstract::Following publication of the original article [1], the author reported that there are several errors in the original article. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,已发布勘误

    doi:10.1186/s12859-019-3318-z

    authors: Ranjard L,Wong TKF,Rodrigo AG

    更新日期:2020-01-22 00:00:00

  • An improved string composition method for sequence comparison.

    abstract:BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S6-S15

    authors: Lu G,Zhang S,Fang X

    更新日期:2008-05-28 00:00:00

  • Detection of gene pathways with predictive power for breast cancer prognosis.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-1

    authors: Ma S,Kosorok MR

    更新日期:2010-01-01 00:00:00

  • GO2MSIG, an automated GO based multi-species gene set generator for gene set enrichment analysis.

    abstract:BACKGROUND:Despite the widespread use of high throughput expression platforms and the availability of a desktop implementation of Gene Set Enrichment Analysis (GSEA) that enables non-experts to perform gene set based analyses, the availability of the necessary precompiled gene sets is rare for species other than human....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-146

    authors: Powell JA

    更新日期:2014-05-17 00:00:00

  • An unsupervised classification scheme for improving predictions of prokaryotic TIS.

    abstract:BACKGROUND:Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation initiation sites (TIS) is still a challenging problem. Recently a number of post-processing tools have been proposed for improving the annotation...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-121

    authors: Tech M,Meinicke P

    更新日期:2006-03-09 00:00:00

  • Glycosylator: a Python framework for the rapid modeling of glycans.

    abstract:BACKGROUND:Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N-linked glycosylation, plays an important role in the physiolog...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3097-6

    authors: Lemmin T,Soto C

    更新日期:2019-10-22 00:00:00

  • A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE).

    abstract:BACKGROUND:An organism's protein interactome, or complete network of protein-protein interactions, defines the protein complexes that drive cellular processes. Techniques for studying protein complexes have traditionally applied targeted strategies such as yeast two-hybrid or affinity purification-mass spectrometry to ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1865-8

    authors: Stacey RG,Skinnider MA,Scott NE,Foster LJ

    更新日期:2017-10-23 00:00:00

  • Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery.

    abstract:BACKGROUND:As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. However, its clinical use is not fully validated yet. An important factor to prevent this young technology to become a mainstream cancer diagnos...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S1-S1

    authors: Han H

    更新日期:2010-01-18 00:00:00

  • Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks.

    abstract:BACKGROUND:Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological functions in their network neighbouring regions. RESULTS:Here, we weighted edges of a human protein interaction network and a transcriptional r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-392

    authors: Chen L,Wang H,Zhang L,Li W,Wang Q,Shang Y,He Y,He W,Li X,Tai J,Li X

    更新日期:2010-07-22 00:00:00

  • Prediction of dinucleotide-specific RNA-binding sites in proteins.

    abstract:BACKGROUND:Regulation of gene expression, protein synthesis, replication and assembly of many viruses involve RNA-protein interactions. Although some successful computational tools have been reported to recognize RNA binding sites in proteins, the problem of specificity remains poorly investigated. After the nucleotide...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S13-S5

    authors: Fernandez M,Kumagai Y,Standley DM,Sarai A,Mizuguchi K,Ahmad S

    更新日期:2011-01-01 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

  • 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