Zisland Explorer specifications

Unique identifier:
OMICS_11357
Restrictions to use:
None
Output data:
The users will obtain a file of predicted islands and an image of the cumulative GC profile displaying the predicted islands.
Stability:
Stable
Interface:
Web user interface
Input data:
When performing island prediction, the users only need to submit a standard FASTA sequence file of the genome and optionally upload an annotation file in GenBank ptt style. If the annotation file is unavailable, Zisland Explorer will identify genes using ZCURVE, a gene annotation tool based on Z-curve theory and having been validated on hundreds of genomes.
Computer skills:
Basic
Maintained:
Yes

Zisland Explorer specifications

Unique identifier:
OMICS_11357
Interface:
Command line interface
Input data:
When performing island prediction, the users only need to submit a standard FASTA sequence file of the genome and optionally upload an annotation file in GenBank ptt style. If the annotation file is unavailable, Zisland Explorer will identify genes using ZCURVE, a gene annotation tool based on Z-curve theory and having been validated on hundreds of genomes.
Operating system:
Unix/Linux, Mac OS, Windows
Stability:
Stable
Software type:
Application/Script
Restrictions to use:
None
Output data:
The users will obtain a file of predicted islands and an image of the cumulative GC profile displaying the predicted islands.
Computer skills:
Advanced
Maintained:
Yes

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Zisland Explorer support

Documentation

Maintainer

  • Feng-Biao Guo <>
  • Feng-Biao Guo <>

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Publications

Institution(s)

School of Life Sciences, Chongqing University, China; Department of Physics, Tianjin University, China; Bioinformatics Center, University of Electronic Science and Technology of China, China; School of Biomedical Engineering, Tianjin Medical University, China

Funding source(s)

This work was supported by the National Natural Science Foundation of China (grant numbers 31470068, 31501063, 31171238 and 31571358); Sichuan Youth Science and Technology Foundation of China (2014JQ0051); China National 863 High-Tech Program (2015AA020101); Postdoctoral Science Foundation of China (2015M580211); and Fundamental Research Funds for the Central Universities of China (ZYGX2013J101, ZYGX2015Z006 and ZYGX2015J144).

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