Genoviz Software Development Kit: Java tool kit for building genomics visualization applications.

Abstract:

BACKGROUND:Visualization software can expose previously undiscovered patterns in genomic data and advance biological science. RESULTS:The Genoviz Software Development Kit (SDK) is an open source, Java-based framework designed for rapid assembly of visualization software applications for genomics. The Genoviz SDK framework provides a mechanism for incorporating adaptive, dynamic zooming into applications, a desirable feature of genome viewers. Visualization capabilities of the Genoviz SDK include automated layout of features along genetic or genomic axes; support for user interactions with graphical elements (Glyphs) in a map; a variety of Glyph sub-classes that promote experimentation with new ways of representing data in graphical formats; and support for adaptive, semantic zooming, whereby objects change their appearance depending on zoom level and zooming rate adapts to the current scale. Freely available demonstration and production quality applications, including the Integrated Genome Browser, illustrate Genoviz SDK capabilities. CONCLUSION:Separation between graphics components and genomic data models makes it easy for developers to add visualization capability to pre-existing applications or build new applications using third-party data models. Source code, documentation, sample applications, and tutorials are available at http://genoviz.sourceforge.net/.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Helt GA,Nicol JW,Erwin E,Blossom E,Blanchard SG Jr,Chervitz SA,Harmon C,Loraine AE

doi

10.1186/1471-2105-10-266

subject

Has Abstract

pub_date

2009-08-25 00:00:00

pages

266

issn

1471-2105

pii

1471-2105-10-266

journal_volume

10

pub_type

杂志文章
  • Coverage statistics for sequence census methods.

    abstract:BACKGROUND:We study the statistical properties of fragment coverage in genome sequencing experiments. In an extension of the classic Lander-Waterman model, we consider the effect of the length distribution of fragments. We also introduce a coding of the shape of the coverage depth function as a tree and explain how thi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-430

    authors: Evans SN,Hower V,Pachter L

    更新日期:2010-08-18 00:00:00

  • SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups.

    abstract:BACKGROUND:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3407-z

    authors: Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

    更新日期:2020-02-17 00:00:00

  • Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses.

    abstract:BACKGROUND:Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines. The community-based Cell Line Ontology (CLO) is selected as the defa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1981-5

    authors: Ong E,Xie J,Ni Z,Liu Q,Sarntivijai S,Lin Y,Cooper D,Terryn R,Stathias V,Chung C,Schürer S,He Y

    更新日期:2017-12-21 00:00:00

  • An improved method for identifying functionally linked proteins using phylogenetic profiles.

    abstract:BACKGROUND:Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein complexes or metabolic pathways. Various existing methods measure similarity between two profiles and, hence, the likelihood that the two prote...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S4-S7

    authors: Cokus S,Mizutani S,Pellegrini M

    更新日期:2007-05-22 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

  • Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.

    abstract:BACKGROUND:Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2650-7

    authors: Li R,Zeng X,Sigmund SE,Lin R,Zhou B,Liu C,Wang K,Jiang R,Freyberg Z,Lv H,Xu M

    更新日期:2019-03-29 00:00:00

  • Use of a structural alphabet for analysis of short loops connecting repetitive structures.

    abstract:BACKGROUND:Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, can offer different definitions. In a previous study, we defined a structural alphabet composed of 16 average protein fragments, which we call...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-58

    authors: Fourrier L,Benros C,de Brevern AG

    更新日期:2004-05-12 00:00:00

  • Automated modelling of signal transduction networks.

    abstract:BACKGROUND:Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molec...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-34

    authors: Steffen M,Petti A,Aach J,D'haeseleer P,Church G

    更新日期:2002-11-01 00:00:00

  • The reactive metabolite target protein database (TPDB)--a web-accessible resource.

    abstract:BACKGROUND:The toxic effects of many simple organic compounds stem from their biotransformation to chemically reactive metabolites which bind covalently to cellular proteins. To understand the mechanisms of cytotoxic responses it may be important to know which proteins become adducted and whether some may be common tar...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-95

    authors: Hanzlik RP,Koen YM,Theertham B,Dong Y,Fang J

    更新日期:2007-03-16 00:00:00

  • MATLIGN: a motif clustering, comparison and matching tool.

    abstract:BACKGROUND:Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS). These formats are used to represent the characterised TFBS profiles stored in transcription factor databases, as well as to represent the po...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-189

    authors: Kankainen M,Löytynoja A

    更新日期:2007-06-08 00:00:00

  • Simulating variance heterogeneity in quantitative genome wide association studies.

    abstract:BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2061-1

    authors: Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

    更新日期:2018-03-21 00:00:00

  • Bison: bisulfite alignment on nodes of a cluster.

    abstract:BACKGROUND:DNA methylation changes are associated with a wide array of biological processes. Bisulfite conversion of DNA followed by high-throughput sequencing is increasingly being used to assess genome-wide methylation at single-base resolution. The relative slowness of most commonly used aligners for processing such...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-337

    authors: Ryan DP,Ehninger D

    更新日期:2014-10-18 00:00:00

  • Toward an interactive article: integrating journals and biological databases.

    abstract:BACKGROUND:Journal articles and databases are two major modes of communication in the biological sciences, and thus integrating these critical resources is of urgent importance to increase the pace of discovery. Projects focused on bridging the gap between journals and databases have been on the rise over the last five...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-175

    authors: Rangarajan A,Schedl T,Yook K,Chan J,Haenel S,Otis L,Faelten S,DePellegrin-Connelly T,Isaacson R,Skrzypek MS,Marygold SJ,Stefancsik R,Cherry JM,Sternberg PW,Müller HM

    更新日期:2011-05-19 00:00:00

  • ConEVA: a toolbox for comprehensive assessment of protein contacts.

    abstract:BACKGROUND:In recent years, successful contact prediction methods and contact-guided ab initio protein structure prediction methods have highlighted the importance of incorporating contact information into protein structure prediction methods. It is also observed that for almost all globular proteins, the quality of co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1404-z

    authors: Adhikari B,Nowotny J,Bhattacharya D,Hou J,Cheng J

    更新日期:2016-12-07 00:00:00

  • Discrimination of cell cycle phases in PCNA-immunolabeled cells.

    abstract:BACKGROUND:Protein function in eukaryotic cells is often controlled in a cell cycle-dependent manner. Therefore, the correct assignment of cellular phenotypes to cell cycle phases is a crucial task in cell biology research. Nuclear proteins whose localization varies during the cell cycle are valuable and frequently use...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0618-9

    authors: Schönenberger F,Deutzmann A,Ferrando-May E,Merhof D

    更新日期:2015-05-29 00:00:00

  • The Lair: a resource for exploratory analysis of published RNA-Seq data.

    abstract::Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice. We introduce a series of tools for processing and analyzing RNA-Seq data...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1357-2

    authors: Pimentel H,Sturmfels P,Bray N,Melsted P,Pachter L

    更新日期:2016-12-01 00:00:00

  • Improved functional prediction of proteins by learning kernel combinations in multilabel settings.

    abstract:BACKGROUND:We develop a probabilistic model for combining kernel matrices to predict the function of proteins. It extends previous approaches in that it can handle multiple labels which naturally appear in the context of protein function. RESULTS:Explicit modeling of multilabels significantly improves the capability o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S2-S12

    authors: Roth V,Fischer B

    更新日期:2007-05-03 00:00:00

  • MTAP: the motif tool assessment platform.

    abstract:BACKGROUND:In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory binding sites given a set of genomic sequences. As the number of software packages increases, it becomes more important to identify the tools with ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S9-S6

    authors: Quest D,Dempsey K,Shafiullah M,Bastola D,Ali H

    更新日期:2008-08-12 00:00:00

  • Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information.

    abstract:BACKGROUND:Protein sequence profile-profile alignment is an important approach to recognizing remote homologs and generating accurate pairwise alignments. It plays an important role in protein sequence database search, protein structure prediction, protein function prediction, and phylogenetic analysis. RESULTS:In thi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-252

    authors: Deng X,Cheng J

    更新日期:2014-07-25 00:00:00

  • Alternative mapping of probes to genes for Affymetrix chips.

    abstract:BACKGROUND:Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the quality of measurements. However, once probes have been selected and synthesized on an array, it is still possible to re-evaluate the results...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-111

    authors: Gautier L,Møller M,Friis-Hansen L,Knudsen S

    更新日期:2004-08-14 00:00:00

  • BAGEL: a computational framework for identifying essential genes from pooled library screens.

    abstract:BACKGROUND:The adaptation of the CRISPR-Cas9 system to pooled library gene knockout screens in mammalian cells represents a major technological leap over RNA interference, the prior state of the art. New methods for analyzing the data and evaluating results are needed. RESULTS:We offer BAGEL (Bayesian Analysis of Gene...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1015-8

    authors: Hart T,Moffat J

    更新日期:2016-04-16 00:00:00

  • Efficient reconstruction of biological networks via transitive reduction on general purpose graphics processors.

    abstract:BACKGROUND:Techniques for reconstruction of biological networks which are based on perturbation experiments often predict direct interactions between nodes that do not exist. Transitive reduction removes such relations if they can be explained by an indirect path of influences. The existing algorithms for transitive re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-281

    authors: Bošnački D,Odenbrett MR,Wijs A,Ligtenberg W,Hilbers P

    更新日期:2012-10-30 00:00:00

  • tcR: an R package for T cell receptor repertoire advanced data analysis.

    abstract:BACKGROUND:The Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is req...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0613-1

    authors: Nazarov VI,Pogorelyy MV,Komech EA,Zvyagin IV,Bolotin DA,Shugay M,Chudakov DM,Lebedev YB,Mamedov IZ

    更新日期:2015-05-28 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

  • 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

  • Protein-DNA docking with a coarse-grained force field.

    abstract:BACKGROUND:Protein-DNA interactions are important for many cellular processes, however structural knowledge for a large fraction of known and putative complexes is still lacking. Computational docking methods aim at the prediction of complex architecture given detailed structures of its constituents. They are becoming ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-228

    authors: Setny P,Bahadur RP,Zacharias M

    更新日期:2012-09-11 00:00:00

  • FITBAR: a web tool for the robust prediction of prokaryotic regulons.

    abstract:BACKGROUND:The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding sites in completely sequenced genomes is a key aspect in the deeper understanding of gene regulatory networks. Several algorithms have been des...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-554

    authors: Oberto J

    更新日期:2010-11-11 00:00:00

  • JNets: exploring networks by integrating annotation.

    abstract:BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-95

    authors: Macpherson JI,Pinney JW,Robertson DL

    更新日期:2009-03-26 00:00:00

  • Multiple virtual screening approaches for finding new hepatitis C virus RNA-dependent RNA polymerase inhibitors: structure-based screens and molecular dynamics for the pursue of new poly pharmacological inhibitors.

    abstract::The RNA polymerase NS5B of Hepatitis C virus (HCV) is a well-characterised drug target with an active site and four allosteric binding sites. This work presents a workflow for virtual screening and its application to Drug Bank screening targeting the Hepatitis C Virus (HCV) RNA polymerase non-nucleoside binding sites....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S17-S5

    authors: Elhefnawi M,ElGamacy M,Fares M

    更新日期:2012-01-01 00:00:00

  • Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments.

    abstract:BACKGROUND:RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of dif...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-0994-9

    authors: Bi R,Liu P

    更新日期:2016-03-31 00:00:00