Journal article

A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing

Cinzia Cantacessi, Aaron R Jex, Ross S Hall, Neil D Young, Bronwyn E Campbell, Anja Joachim, Matthew J Nolan, Sahar Abubucker, Paul W Sternberg, Shoba Ranganathan, Makedonka Mitreva, Robin B Gasser



Transcriptomics (at the level of single cells, tissues and/or whole organisms) underpins many fields of biomedical science, from understanding the basic cellular function in model organisms, to the elucidation of the biological events that govern the development and progression of human diseases, and the exploration of the mechanisms of survival, drug-resistance and virulence of pathogens. Next-generation sequencing (NGS) technologies are contributing to a massive expansion of transcriptomics in all fields and are reducing the cost, time and performance barriers presented by conventional approaches. However, bioinformatic tools for the analysis of the sequence data sets produced by these tec..

View full abstract


Funding Acknowledgements

Staff at WormBase are gratefully acknowledged. The Austrian Ministry for Science and Research approved the animal experimentation (BMWF-68.205/0103-II/10b/2008) and is also acknowledged. C. C. is in receipt of an International Postgraduate Research Scholarship from the Australian Government and a fee-remission scholarship from The University of Melbourne as well as the Clunies Ross (2008) and Sue Newton (2009) awards from the School of Veterinary Science of the same university.The Australian Research Council; Australian Academy of Science; the Australian-American Fulbright Commission (to R. B. G.); National Human Genome Research Institute and National Institutes of Health (to M. M.).