ArticleNucleic acids research2013
Genome Maps, a new generation genome browser.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Developing pangenomes for large and complex plant genomes and their representation formats.Journal of advanced research · 2025Review
- Techniques for Profiling the Cellular Immune Response and Their Implications for Interventional Oncology.Cancers · 2022Review
- CSVS, a crowdsourcing database of the Spanish population genetic variability.Nucleic acids research · 2021Article
- Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing.Biology · 2020Review
- VISMapper: ultra-fast exhaustive cartography of viral insertion sites for gene therapy.BMC bioinformatics · 2017Article
- PBrowse: a web-based platform for real-time collaborative exploration of genomic data.Nucleic acids research · 2017Article
- TnT: a set of libraries for visualizing trees and track-based annotations for the web.Bioinformatics (Oxford, England) · 2016Article
- spongeScan: A web for detecting microRNA binding elements in lncRNA sequences.Nucleic acids research · 2016Article
- A survey of best practices for RNA-seq data analysis.Genome biology · 2016Review
- GenomeD3Plot: a library for rich, interactive visualizations of genomic data in web applications.Bioinformatics (Oxford, England) · 2015Article
- A low-latency, big database system and browser for storage, querying and visualization of 3D genomic data.Nucleic acids research · 2015Article
- Babelomics 5.0: functional interpretation for new generations of genomic data.Nucleic acids research · 2015Article
- An Ontology-Based GIS for Genomic Data Management of Rumen Microbes.Genomics & informatics · 2015Article
- An integrated approach for genome annotation of the eukaryotic thermophile Chaetomium thermophilum.Nucleic acids research · 2014Article
- A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies.Nucleic acids research · 2014Article
- A web tool for the design and management of panels of genes for targeted enrichment and massive sequencing for clinical applications.Nucleic acids research · 2014Article
- QMachine: commodity supercomputing in web browsers.BMC bioinformatics · 2014Article
- Transparency tools in gene patenting for informing policy and practice.Nature biotechnology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome browsers have gained importance as more genomes and related genomic information become available. However, the increase of information brought about by new generation sequencing technologies is, at the same time, causing a subtle but continuous decrease in the efficiency of conventional genome browsers. Here, we present Genome Maps, a genome browser that implements an innovative model of data transfer and management. The program uses highly efficient technologies from the new HTML5 standard, such as scalable vector graphics, that optimize workloads at both server and client sides and ensure future scalability. Thus, data management and representation are entirely carried out by the browser, without the need of any Java Applet, Flash or other plug-in technology installation. Relevant biological data on genes, transcripts, exons, regulatory features, single-nucleotide polymorphisms, karyotype and so forth, are imported from web services and are available as tracks. In addition, several DAS servers are already included in Genome Maps. As a novelty, this web-based genome browser allows the local upload of huge genomic data files (e.g. VCF or BAM) that can be dynamically visualized in real time at the client side, thus facilitating the management of medical data affected by privacy restrictions. Finally, Genome Maps can easily be integrated in any web application by including only a few lines of code. Genome Maps is an open source collaborative initiative available in the GitHub repository (https://github.com/compbio-bigdata-viz/genome-maps). Genome Maps is available at: http://www.genomemaps.org.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.