CNV Workshop: an integrated platform for high-throughput copy number variation discovery and clinical diagnostics.

Abstract:

BACKGROUND:Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. The increasing availability of high-resolution genome surveillance platforms provides opportunity for rapidly assessing research and clinical samples for CNV content, as well as for determining the potential pathogenicity of identified variants. However, few informatics tools for accurate and efficient CNV detection and assessment currently exist. RESULTS:We developed a suite of software tools and resources (CNV Workshop) for automated, genome-wide CNV detection from a variety of SNP array platforms. CNV Workshop includes three major components: detection, annotation, and presentation of structural variants from genome array data. CNV detection utilizes a robust and genotype-specific extension of the Circular Binary Segmentation algorithm, and the use of additional detection algorithms is supported. Predicted CNVs are captured in a MySQL database that supports cohort-based projects and incorporates a secure user authentication layer and user/admin roles. To assist with determination of pathogenicity, detected CNVs are also annotated automatically for gene content, known disease loci, and gene-based literature references. Results are easily queried, sorted, filtered, and visualized via a web-based presentation layer that includes a GBrowse-based graphical representation of CNV content and relevant public data, integration with the UCSC Genome Browser, and tabular displays of genomic attributes for each CNV. CONCLUSIONS:To our knowledge, CNV Workshop represents the first cohesive and convenient platform for detection, annotation, and assessment of the biological and clinical significance of structural variants. CNV Workshop has been successfully utilized for assessment of genomic variation in healthy individuals and disease cohorts and is an ideal platform for coordinating multiple associated projects. AVAILABILITY AND IMPLEMENTATION:Available on the web at: http://sourceforge.net/projects/cnv.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Gai X,Perin JC,Murphy K,O'Hara R,D'arcy M,Wenocur A,Xie HM,Rappaport EF,Shaikh TH,White PS

doi

10.1186/1471-2105-11-74

subject

Has Abstract

pub_date

2010-02-04 00:00:00

pages

74

issn

1471-2105

pii

1471-2105-11-74

journal_volume

11

pub_type

杂志文章
  • 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

  • A new pooling strategy for high-throughput screening: the Shifted Transversal Design.

    abstract:BACKGROUND:In binary high-throughput screening projects where the goal is the identification of low-frequency events, beyond the obvious issue of efficiency, false positives and false negatives are a major concern. Pooling constitutes a natural solution: it reduces the number of tests, while providing critical duplicat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-28

    authors: Thierry-Mieg N

    更新日期:2006-01-19 00:00:00

  • Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays.

    abstract:BACKGROUND:Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays, one is able to choose between two completely different platforms f...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-176

    authors: Stiglic G,Bajgot M,Kokol P

    更新日期:2010-04-08 00:00:00

  • NeatFreq: reference-free data reduction and coverage normalization for De Novo sequence assembly.

    abstract:BACKGROUND:Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0357-3

    authors: McCorrison JM,Venepally P,Singh I,Fouts DE,Lasken RS,Methé BA

    更新日期:2014-11-19 00:00:00

  • Multiple sequence alignment accuracy and evolutionary distance estimation.

    abstract:BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-278

    authors: Rosenberg MS

    更新日期:2005-11-23 00:00:00

  • Bayesian inference of biochemical kinetic parameters using the linear noise approximation.

    abstract:BACKGROUND:Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamical models requires the development of effective statistical methods to calibrat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-343

    authors: Komorowski M,Finkenstädt B,Harper CV,Rand DA

    更新日期:2009-10-19 00:00:00

  • Local functional descriptors for surface comparison based binding prediction.

    abstract:BACKGROUND:Molecular recognition in proteins occurs due to appropriate arrangements of physical, chemical, and geometric properties of an atomic surface. Similar surface regions should create similar binding interfaces. Effective methods for comparing surface regions can be used in identifying similar regions, and to p...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-314

    authors: Cipriano GM,Phillips GN Jr,Gleicher M

    更新日期:2012-11-24 00:00:00

  • Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.

    abstract:BACKGROUND:Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1685-x

    authors: Xu Y,Jia Z,Wang LB,Ai Y,Zhang F,Lai M,Chang EI

    更新日期:2017-05-26 00:00:00

  • The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses.

    abstract:BACKGROUND:Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. In pathological situations, the MRS profile changes and this has bee...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-581

    authors: Pérez-Ruiz A,Julià-Sapé M,Mercadal G,Olier I,Majós C,Arús C

    更新日期:2010-11-29 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

  • pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties.

    abstract:BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-152

    authors: Sarda D,Chua GH,Li KB,Krishnan A

    更新日期:2005-06-17 00:00:00

  • Fast batch searching for protein homology based on compression and clustering.

    abstract:BACKGROUND:In bioinformatics community, many tasks associate with matching a set of protein query sequences in large sequence datasets. To conduct multiple queries in the database, a common used method is to run BLAST on each original querey or on the concatenated queries. It is inefficient since it doesn't exploit the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1938-8

    authors: Ge H,Sun L,Yu J

    更新日期:2017-11-21 00:00:00

  • On pairwise distances and median score of three genomes under DCJ.

    abstract::In comparative genomics, the rearrangement distance between two genomes (equal the minimal number of genome rearrangements required to transform them into a single genome) is often used for measuring their evolutionary remoteness. Generalization of this measure to three genomes is known as the median score (while a re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S19-S1

    authors: Aganezov S Jr,Alekseyev MA

    更新日期:2012-01-01 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

  • 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

  • Subfamily specific conservation profiles for proteins based on n-gram patterns.

    abstract:BACKGROUND:A new algorithm has been developed for generating conservation profiles that reflect the evolutionary history of the subfamily associated with a query sequence. It is based on n-gram patterns (NP{n,m}) which are sets of n residues and m wildcards in windows of size n+m. The generation of conservation profile...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-72

    authors: Vries JK,Liu X

    更新日期:2008-01-30 00:00:00

  • A computational analysis of SARS cysteine proteinase-octapeptide substrate interaction: implication for structure and active site binding mechanism.

    abstract:BACKGROUND:SARS coronavirus main proteinase (SARS CoVMpro) is an important enzyme for the replication of Severe Acute Respiratory Syndrome virus. The active site region of SARS CoVMpro is divided into 8 subsites. Understanding the binding mode of SARS CoVMpro with a specific substrate is useful and contributes to struc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S1-S48

    authors: Phakthanakanok K,Ratanakhanokchai K,Kyu KL,Sompornpisut P,Watts A,Pinitglang S

    更新日期:2009-01-30 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

  • Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies.

    abstract:BACKGROUND:This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world, us...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S10-S3

    authors: Anwar N,Hunt E

    更新日期:2009-10-01 00:00:00

  • Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation.

    abstract:BACKGROUND:Quantitative polymerase chain reaction (qPCR) is the technique of choice for quantifying gene expression. While the technique itself is well established, approaches for the analysis of qPCR data continue to improve. RESULTS:Here we expand on the common base method to develop procedures for testing linear re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03696-y

    authors: Ganger MT,Dietz GD,Headley P,Ewing SJ

    更新日期:2020-09-29 00:00:00

  • An ensemble framework for identifying essential proteins.

    abstract:BACKGROUND:Many centrality measures have been proposed to mine and characterize the correlations between network topological properties and protein essentiality. However, most of them show limited prediction accuracy, and the number of common predicted essential proteins by different methods is very small. RESULTS:In ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1166-7

    authors: Zhang X,Xiao W,Acencio ML,Lemke N,Wang X

    更新日期:2016-08-25 00:00:00

  • PseUI: Pseudouridine sites identification based on RNA sequence information.

    abstract:BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2321-0

    authors: He J,Fang T,Zhang Z,Huang B,Zhu X,Xiong Y

    更新日期:2018-08-29 00:00:00

  • Notos - a galaxy tool to analyze CpN observed expected ratios for inferring DNA methylation types.

    abstract:BACKGROUND:DNA methylation patterns store epigenetic information in the vast majority of eukaryotic species. The relatively high costs and technical challenges associated with the detection of DNA methylation however have created a bias in the number of methylation studies towards model organisms. Consequently, it rema...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2115-4

    authors: Bulla I,Aliaga B,Lacal V,Bulla J,Grunau C,Chaparro C

    更新日期:2018-03-27 00:00:00

  • Filling out the structural map of the NTF2-like superfamily.

    abstract:BACKGROUND:The NTF2-like superfamily is a versatile group of protein domains sharing a common fold. The sequences of these domains are very diverse and they share no common sequence motif. These domains serve a range of different functions within the proteins in which they are found, including both catalytic and non-ca...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-327

    authors: Eberhardt RY,Chang Y,Bateman A,Murzin AG,Axelrod HL,Hwang WC,Aravind L

    更新日期:2013-11-19 00:00:00

  • TAMEE: data management and analysis for tissue microarrays.

    abstract:BACKGROUND:With the introduction of tissue microarrays (TMAs) researchers can investigate gene and protein expression in tissues on a high-throughput scale. TMAs generate a wealth of data calling for extended, high level data management. Enhanced data analysis and systematic data management are required for traceabilit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-81

    authors: Thallinger GG,Baumgartner K,Pirklbauer M,Uray M,Pauritsch E,Mehes G,Buck CR,Zatloukal K,Trajanoski Z

    更新日期:2007-03-07 00:00:00

  • A unifying model of genome evolution under parsimony.

    abstract:BACKGROUND:Parsimony and maximum likelihood methods of phylogenetic tree estimation and parsimony methods for genome rearrangements are central to the study of genome evolution yet to date they have largely been pursued in isolation. RESULTS:We present a data structure called a history graph that offers a practical ba...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-206

    authors: Paten B,Zerbino DR,Hickey G,Haussler D

    更新日期:2014-06-19 00:00:00

  • SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services.

    abstract:BACKGROUND:SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations foun...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-309

    authors: Gessler DD,Schiltz GS,May GD,Avraham S,Town CD,Grant D,Nelson RT

    更新日期:2009-09-23 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

  • InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes.

    abstract:BACKGROUND:Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there hav...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-414

    authors: Sun J,Sun Y,Ding G,Liu Q,Wang C,He Y,Shi T,Li Y,Zhao Z

    更新日期:2007-10-26 00:00:00

  • BioNanoAnalyst: a visualisation tool to assess genome assembly quality using BioNano data.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1735-4

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

    更新日期:2017-06-30 00:00:00