General description

Computational gene finding obtains increasing concerns in the metagenomic sequencing projects. Accurate prediction of gene on both 5'-end and 3'-end is important for experimental identification of purified protein products, as well as predictions of promoter and operon. However almost all of the current algorithms are inapplicable to accurately locate the translation initiation sites (TISs) of protein coding genes; they are usually demonstrated a poor performance on experimentally verified gene data. To address this problem, we provide MetaTISA, a tool that post-processes predictions from gene-finders for metagenome with an aim to improve the prediction of TISs.

At this moment, it provides option for MetaGene (Noguchi et al., 2006, 2008) and will extend to other gene finders in later developments.

To facilitate the study of diversity of translation mechanisms among different environments, we provide a matlab script to visualize the positional weight matrix generated for each binned cluster.

Access

Online Prediction

Download stand-alone MetaTISA (Linux/Windows).

Related resources

A webserver for TIS prediction in complete microbial genomes TiCo

A database for TIS annotation for microbial genomes ProTISA

Please Cite
Gang-Qing Hu, Jiang-Tao Guo, Yong-Chu Liu, and Huaiqiu Zhu. MetaTISA: Metagenomic Translation Initiation Site Annotator for improving gene start prediction. Bioinformatics 2009,25(14):1843-1845.

References

  1. Hu, G.-Q., Zheng, X.-B., Zhu, H. and She, Z.S (2009) Prediction of translation initiation site for microbial genomes with TriTISA. Bioinformatics, 25(1): 123-125.
  2. Hoff, K.J., Tech, M., Lingner, T., Daniel, R., Morgenstern, B. and Meinicke, P. (2008) Gene prediction in metagenomic fragments: a large scale machine learning approach. BMC Bioinformatics, 9: 217.
  3. Noguchi, H., Taniguchi, T. and Itoh, T., (2008) MetaGeneAnnotator: Detecting species-specific patterns of ribosomal biding site for precise gene prediction in anonymous prokaryotic and phage genomes. DNA Res., 15: 387-396.
  4. Noguchi, H., Park, J. and Takagi, T. (2006) MetaGene: prokaryotic gene finding from
    environmental genome shotgun sequences. Nucleic Acids Res., 34:5623-5630.
  5. Sandberg, R,, Winberg, G., Branden, C.-I., Kaske, A., Ernberg, I. and Coster, J. (2001) Capturing whole-genome characteristics in short sequences using a Naive Bayesian classifier. Genome Res. 11:1404¨C1409.

 
 
¡¡ ¡¡ ¡¡

©2008 MetaTISA