standards > model/format > DOI:10.25504/FAIRsharing.2nrf9f


ready Wiggle Track Format

Abbreviation:WIG


General Information
The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format "data points" or "bed format" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.



How to cite this record FAIRsharing.org: WIG; Wiggle Track Format; DOI: https://doi.org/10.25504/FAIRsharing.2nrf9f; Last edited: Feb. 22, 2018, 1:45 p.m.; Last accessed: Sep 26 2018 9:19 a.m.


Record updated: July 11, 2017, 1:45 p.m. by The FAIRsharing Team.

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Implementing Databases (7)
Encyclopedia of DNA Elements at UCSC
Encyclopedia of DNA Elements (ENCODE) has created a comprehensive parts list of functional elements in the human genome, including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. UCSC coordinated data for the ENCODE Consortium from its inception in 2003 (Pilot phase) to the end of the first 5 year phase of whole-genome data production in 2012. All data produced by ENCODE investigators and the results of ENCODE analysis projects from this period are hosted in the UCSC Genome browser and database.

modMine
modMine is an integrated web resource of data & tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.

UCSC Genome Browser database
Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.

The UCSC Archaeal Genome Browser
The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.

RhesusBase
A comprehensive online knowledgebase for the monkey research community.

Ensembl
The Ensembl project is based at the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI). It provides one of the most comprehensive and integrated resources of genomic data, which can be accessed through the web (www.ensembl.org) and through BioMart, FTP, Perl APIs, REST API and MySQL queries.

The MGA Data Repository
The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads has been mapped to a genome) and presented in a standardized text format

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