Journal article

Improved strategy for the curation and classification of kinases, with broad applicability to other eukaryotic protein groups

AJ Stroehlein, ND Young, RB Gasser

Scientific Reports | NATURE PORTFOLIO | Published : 2018

Abstract

Despite the substantial amount of genomic and transcriptomic data available for a wide range of eukaryotic organisms, most genomes are still in a draft state and can have inaccurate gene predictions. To gain a sound understanding of the biology of an organism, it is crucial that inferred protein sequences are accurately identified and annotated. However, this can be challenging to achieve, particularly for organisms such as parasitic worms (helminths), as most gene prediction approaches do not account for substantial phylogenetic divergence from model organisms, such as Caenorhabditis elegans and Drosophila melanogaster, whose genomes are well-curated. In this paper, we describe a bioinforma..

View full abstract

University of Melbourne Researchers

Grants

Funding Acknowledgements

Research funding from the National Health and Medical Research Council of Australia (NHMRC), Australian Research Council (ARC), Australia and Wellcome Trust, UK, is gratefully acknowledged (R.B.G.). Support from the Melbourne Bioinformatics Platform and WormBase (www.wormbase.org), the Australian Academy of Science, the Australian-American Fulbright Commission, Australia, Alexander von Humboldt Foundation (Germany) and Melbourne Water Corporation (Australia) is also gratefully acknowledged. N.D.Y. is an NHMRC Career Development Fellow.