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 possible to resequence whole genomes in order to systematically characterize novel TE mobilization in a particular individual. However, this task is made difficult by the inherently repetitive nature of TE sequences, which in some eukaryotes compose over half of the genome sequence. Currently, only a few software tools dedicated to the detection of TE mobilization using next-generation-sequencing are described in the literature. They often target specific TEs for which annotation is available, and are only able to identify families of closely related TEs, rather than individual elements. RESULTS:We present TE-Tracker, a general and accurate computational method for the de-novo detection of germ line TE mobilization from re-sequenced genomes, as well as the identification of both their source and destination sequences. We compare our method with the two classes of existing software: specialized TE-detection tools and generic structural variant (SV) detection tools. We show that TE-Tracker, while working independently of any prior annotation, bridges the gap between these two approaches in terms of detection power. Indeed, its positive predictive value (PPV) is comparable to that of dedicated TE software while its sensitivity is typical of a generic SV detection tool. TE-Tracker demonstrates the benefit of adopting an annotation-independent, de novo approach for the detection of TE mobilization events. We use TE-Tracker to provide a comprehensive view of transposition events induced by loss of DNA methylation in Arabidopsis. TE-Tracker is freely available at http://www.genoscope.cns.fr/TE-Tracker . CONCLUSIONS:We show that TE-Tracker accurately detects both the source and destination of novel transposition events in re-sequenced genomes. Moreover, TE-Tracker is able to detect all potential donor sequences for a given insertion, and can identify the correct one among them. Furthermore, TE-Tracker produces significantly fewer false positives than common SV detection programs, thus greatly facilitating the detection and analysis of TE mobilization events.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

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

doi

10.1186/s12859-014-0377-z

subject

Has Abstract

pub_date

2014-11-19 00:00:00

pages

377

issn

1471-2105

pii

s12859-014-0377-z

journal_volume

15

pub_type

杂志文章
  • GeneLibrarian: an effective gene-information summarization and visualization system.

    abstract:BACKGROUND:Abundant information about gene products is stored in online searchable databases such as annotation or literature. To efficiently obtain and digest such information, there is a pressing need for automated information-summarization and functional-similarity clustering of genes. RESULTS:We have developed a n...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-392

    authors: Chiang JH,Shin JW,Liu HH,Chin CL

    更新日期:2006-08-29 00:00:00

  • Critique of the pairwise method for estimating qPCR amplification efficiency: beware of correlated data!

    abstract:BACKGROUND:A recently proposed method for estimating qPCR amplification efficiency E analyzes fluorescence intensity ratios from pairs of points deemed to lie in the exponential growth region on the amplification curves for all reactions in a dilution series. This method suffers from a serious problem: The resulting ra...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03604-4

    authors: Tellinghuisen J

    更新日期:2020-07-08 00:00:00

  • Enhanced CellClassifier: a multi-class classification tool for microscopy images.

    abstract:BACKGROUND:Light microscopy is of central importance in cell biology. The recent introduction of automated high content screening has expanded this technology towards automation of experiments and performing large scale perturbation assays. Nevertheless, evaluation of microscopy data continues to be a bottleneck in man...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-30

    authors: Misselwitz B,Strittmatter G,Periaswamy B,Schlumberger MC,Rout S,Horvath P,Kozak K,Hardt WD

    更新日期:2010-01-14 00:00:00

  • The InDeVal insertion/deletion evaluation tool: a program for finding target regions in DNA sequences and for aiding in sequence comparison.

    abstract:BACKGROUND:The program InDeVal was originally developed to help researchers find known regions of insertion/deletion activity (with the exception of isolated single-base indels) in newly determined Poaceae trnL-F sequences and compare them with 533 previously determined sequences. It is supplied with input files design...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-173

    authors: Stoneberg Holt SD,Holt JA

    更新日期:2004-10-29 00:00:00

  • Bioinformatics Resource Manager: a systems biology web tool for microRNA and omics data integration.

    abstract:BACKGROUND:The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous conversions among the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2805-6

    authors: Brown J,Phillips AR,Lewis DA,Mans MA,Chang Y,Tanguay RL,Peterson ES,Waters KM,Tilton SC

    更新日期:2019-05-17 00:00:00

  • DisCons: a novel tool to quantify and classify evolutionary conservation of intrinsic protein disorder.

    abstract:BACKGROUND:Analyzing the amino acid sequence of an intrinsically disordered protein (IDP) in an evolutionary context can yield novel insights on the functional role of disordered regions and sequence element(s). However, in the case of many IDPs, the lack of evolutionary conservation of the primary sequence can hamper ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0592-2

    authors: Varadi M,Guharoy M,Zsolyomi F,Tompa P

    更新日期:2015-05-13 00:00:00

  • A knowledge discovery object model API for Java.

    abstract:BACKGROUND:Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objectiv...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-51

    authors: Zuyderduyn SD,Jones SJ

    更新日期:2003-10-28 00:00:00

  • Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling.

    abstract:BACKGROUND:Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell auton...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0859-7

    authors: Vacca M,Tripathi KP,Speranza L,Aiese Cigliano R,Scalabrì F,Marracino F,Madonna M,Sanseverino W,Perrone-Capano C,Guarracino MR,D'Esposito M

    更新日期:2016-01-20 00:00:00

  • EGNAS: an exhaustive DNA sequence design algorithm.

    abstract:BACKGROUND:The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number of seq...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-138

    authors: Kick A,Bönsch M,Mertig M

    更新日期:2012-06-20 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

  • Automating dChip: toward reproducible sharing of microarray data analysis.

    abstract:BACKGROUND:During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the widely used dChip as a microarray analysis software package accessible to both biologist and data analysts. However, challenges arise when dC...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-231

    authors: Li C

    更新日期:2008-05-08 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

  • Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation.

    abstract:BACKGROUND:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-32

    authors: Mohamadlou H,Shope JC,Flann NS

    更新日期:2014-01-30 00:00:00

  • Reordering based integrative expression profiling for microarray classification.

    abstract:BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S2-S1

    authors: Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

    更新日期:2012-03-13 00:00:00

  • Fast individual ancestry inference from DNA sequence data leveraging allele frequencies for multiple populations.

    abstract:BACKGROUND:Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing inf...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0418-7

    authors: Bansal V,Libiger O

    更新日期:2015-01-16 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

  • Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model.

    abstract:BACKGROUND:Hepatocellular carcinoma (HCC) is an aggressive epithelial tumor which shows very poor prognosis and high rate of recurrence, representing an urgent problem for public healthcare. MicroRNAs (miRNAs/miRs) are a class of small, non-coding RNAs that attract great attention because of their role in regulation of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0836-1

    authors: Del Vecchio F,Gallo F,Di Marco A,Mastroiaco V,Caianiello P,Zazzeroni F,Alesse E,Tessitore A

    更新日期:2015-12-10 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

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • SPIDer: Saccharomyces protein-protein interaction database.

    abstract:BACKGROUND:Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell, experimentally or computationally, is an important first step toward understanding cellular function and machinery of a proteome. Solely deri...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S5-S16

    authors: Wu X,Zhu L,Guo J,Fu C,Zhou H,Dong D,Li Z,Zhang DY,Lin K

    更新日期:2006-12-18 00:00:00

  • The effect of rare variants on inflation of the test statistics in case-control analyses.

    abstract:BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0496-1

    authors: Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

    更新日期:2015-02-20 00:00:00

  • MACSIMS: multiple alignment of complete sequences information management system.

    abstract:BACKGROUND:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-318

    authors: Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

    更新日期:2006-06-23 00:00:00

  • An optimized TOPS+ comparison method for enhanced TOPS models.

    abstract:BACKGROUND:Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a high degree of biological significance. Previously we have discussed the basic mechanisms of our novel method for structure compariso...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-138

    authors: Veeramalai M,Gilbert D,Valiente G

    更新日期:2010-03-17 00:00:00

  • Colony size measurement of the yeast gene deletion strains for functional genomics.

    abstract:BACKGROUND:Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-117

    authors: Memarian N,Jessulat M,Alirezaie J,Mir-Rashed N,Xu J,Zareie M,Smith M,Golshani A

    更新日期:2007-04-04 00:00:00

  • SDAR: a practical tool for graphical analysis of two-dimensional data.

    abstract:BACKGROUND:Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionall...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-201

    authors: Weeratunga S,Hu NJ,Simon A,Hofmann A

    更新日期:2012-08-14 00:00:00

  • LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.

    abstract:BACKGROUND:A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease associations can provide a new perspective for the diagnosis and treatment of diseases. The main function of many ln...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03721-0

    authors: Zhang Y,Ye F,Xiong D,Gao X

    更新日期:2020-09-03 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

  • 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

  • Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data.

    abstract:BACKGROUND:Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hybridised to chips are vague. We conducted an experiment hybridising RNA from human brain to 117 U133A Affymetrix GeneChips and used these data...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-211

    authors: Jones L,Goldstein DR,Hughes G,Strand AD,Collin F,Dunnett SB,Kooperberg C,Aragaki A,Olson JM,Augood SJ,Faull RL,Luthi-Carter R,Moskvina V,Hodges AK

    更新日期:2006-04-19 00:00:00

  • Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38.

    abstract::After publication of this supplement article. ...

    journal_title:BMC bioinformatics

    pub_type: 已发布勘误

    doi:10.1186/s12859-019-2776-7

    authors: Pan B,Kusko R,Xiao W,Zheng Y,Liu Z,Xiao C,Sakkiah S,Guo W,Gong P,Zhang C,Ge W,Shi L,Tong W,Hong H

    更新日期:2019-05-15 00:00:00