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BaCelLo | A balanced subcellular localization predictor

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Predicts five classes of subcellular localization of proteins in eukaryotes: secretory pathway, cytoplasm, nucleus, mitochondrion and chloroplast. BaCelLo is a method for subcellular localization prediction that adopts a balancing procedure by assuming a uniform a priori probability for the classes. This software distinguishes between animal and fungal organisms. It can be used for large scale analysis of whole genomes to produce an estimate and annotation of the protein content in each subcellular compartment.

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BaCelLo classification

  • Animals
  • Fungi
  • Plants
  • Protists

BaCelLo specifications

Unique identifier:
OMICS_01616
Restrictions to use:
None
Computer skills:
Basic
Maintained:
Yes
Interface:
Web user interface
Input format:
FASTA
Stability:
Stable

BaCelLo support

Maintainers

  • Rita Casadio <>
  • Pier Luigi Martelli <>
  • Piero Fariselli <>
  • Andrea Pierleoni <>

Credits

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Publications

Institution(s)

Biocomputing Group, Department of Biology University of Bologna, Bologna, Italy

Funding source(s)

Supported by grants: PNR 2001- 2003 (FIRB art.8) for a project on Bioinformatics for Genomics and Proteomics, a FIRB 2003 LIBI—International Laboratory of Bioinformatics, the support to the Bologna node of the Biosapiens Network of Excellence project within the European Union’s VI Framework Programme (contract number LSHG-CT-2003-503265), MIUR for a grant on Proteases and a FIRB 2003-LIBI grant.

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