Background: Visualization plays an essential role in genomics research by making it possible to observe correlations and trends in large datasets as well as communicate findings to others. Visual analysis, which combines visualization with analysis tools to enable seamless use of both approaches for scientific investigation, offers a powerful method for performing complex genomic analyses. However, there are numerous challenges that arise when creating rich, interactive Web-based visualizations/visual analysis applications for high-throughput genomics. These challenges include managing data flow from Web server to Web browser, integrating analysis tools and visualizations, and sharing visualizations with colleagues.
Results: We have created a platform simplifies the creation of Web-based visualization/visual analysis applications for high-throughput genomics. This platform provides components that make it simple to efficiently query very large datasets, draw common representations of genomic data, integrate with analysis tools, and share or publish fully interactive visualizations. Using this platform, we have created a Circos-style genome-wide viewer, a generic scatter plot for correlation analysis, an interactive phylogenetic tree, a scalable genome browser for next-generation sequencing data, and an application for systematically exploring tool parameter spaces to find good parameter values. All visualizations are interactive and fully customizable. The platform is integrated with the Galaxy (http://galaxyproject.org) genomics workbench, making it easy to integrate new visual applications into Galaxy.
Conclusions: Visualization and visual analysis play an important role in high-throughput genomics experiments, and approaches are needed to make it easier to create applications for these activities. Our framework provides a foundation for creating Web-based visualizations and integrating them into Galaxy. Finally, the visualizations we have created using the framework are useful tools for high-throughput genomics experiments.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691752 | PMC |
| http://dx.doi.org/10.1186/1471-2164-14-397 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integrating the milk microbiome signatures in mastitis: milk-omics and functional implications.
World J Microbiol Biotechnol
January 2025
Area of Biochemistry and Molecular Biology, OneHealth-UR Research Group, University of La Rioja, 26006, Logroño, Spain.
Mammalian milk contains a variety of complex bioactive and nutritional components and microorganisms. These microorganisms have diverse compositions and functional roles that impact host health and disease pathophysiology, especially mastitis. The advent and use of high throughput omics technologies, including metagenomics, metatranscriptomics, metaproteomics, metametabolomics, as well as culturomics in milk microbiome studies suggest strong relationships between host phenotype and milk microbiome signatures in mastitis.
View Article and Find Full Text PDFHigh-throughput method characterizes hundreds of previously unknown antibiotic resistance mutations.
Nat Commun
January 2025
Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, UK.
A fundamental obstacle to tackling the antimicrobial resistance crisis is identifying mutations that lead to resistance in a given genomic background and environment. We present a high-throughput technique - Quantitative Mutational Scan sequencing (QMS-seq) - that enables quantitative comparison of which genes are under antibiotic selection and captures how genetic background influences resistance evolution. We compare four E.
View Article and Find Full Text PDFCurrent approaches in CRISPR-Cas system for metabolic disorder.
Prog Mol Biol Transl Sci
January 2025
School of Health Sciences & Technology, UPES, Dehradun, Uttarakhand, India. Electronic address:
A new era in genomic medicine has been brought by the development of CRISPR-Cas technology, which presents hitherto unheard-of possibilities for the treatment of metabolic illnesses. The treatment approaches used in CRISPR/Cas9-mediated gene therapy, emphasize distribution techniques such as viral vectors and their use in preclinical models of metabolic diseases like hypercholesterolemia, glycogen storage diseases, and phenylketonuria. The relevance of high-throughput CRISPR screens for target identification in discovering new genes and pathways associated with metabolic dysfunctions is an important aspect of the discovery of new approaches.
View Article and Find Full Text PDFPooled PPIseq: Screening the SARS-CoV-2 and human interface with a scalable multiplexed protein-protein interaction assay platform.
PLoS One
January 2025
SLAC National Accelerator Laboratory, Stanford University, Stanford, California, United States of America.
Protein-Protein Interactions (PPIs) are a key interface between virus and host, and these interactions are important to both viral reprogramming of the host and to host restriction of viral infection. In particular, viral-host PPI networks can be used to further our understanding of the molecular mechanisms of tissue specificity, host range, and virulence. At higher scales, viral-host PPI screening could also be used to screen for small-molecule antivirals that interfere with essential viral-host interactions, or to explore how the PPI networks between interacting viral and host genomes co-evolve.
View Article and Find Full Text PDFNovel Allele HLA-B*52:130, Identified by Next-Generation Sequencing.
HLA
January 2025
Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Medical University, Moscow, Russia.
The new HLA-B*52:130 allele showed one nonsynonymous nucleotide difference compared to the HLA-B*52:01:01:01 allele in codon 170.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!