Neil Saunders' profile

What I do

I’m currently employed as a statistical bioinformatician with CSIRO Mathematical and Information Sciences. Before that I spent 3 years as a research officer in computational biology in the Kobe Lab at the University of Queensland and 6 years at the University of New South Wales working on microbial genome projects. My research passion is enabling biological discovery using genome-scale analysis and the computational tools required to do it.

I find an increasing proportion of my time is spent discussing ways in which web technology can facilitate communication and data sharing between researchers. A lot of this happens at my blog and at FriendFeed. You can also find me at all the usual social networks.

Affiliations

Current

Past

Location

City:
Sydney, New South Wales, Australia
Hub:
Sydney

Interests

Bioinformatics and computational biology, microbial genomics, data mining, high performance computing, web technology for collaboration in life sciences.

Publication list

Projects

Publications

  • Saunders N, Beltrão P, Jensen L, Jurczak D, Krause R, Kuhn M, Wu S. Microblogging the ISMB: A New Approach to Conference Reporting. PLoS computational biology 5 (1) , e1000263 (2009) (Epub 30 Jan 2009) PubMed ID:(19180175)

  • FGFR2 phosphorylation on Serine 779 couples to 14-3-3 and regulates cell survival and proliferation. Molecular and cellular biology (2008) (Epub 10 Mar 2008) PubMed ID:(18332103)

  • Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated database of phosphorylation sites. BMC bioinformatics 9 (1) , 245 (2008) (Epub 26 May 2008) PubMed ID:(18501020)

  • The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information. Nucleic acids research (2008) (Epub 13 May 2008) PubMed ID:(18477637)

  • Frith M, Saunders N, Kobe B, Bailey T. Discovering sequence motifs with arbitrary insertions and deletions. PLoS computational biology 4 (4) , e1000071 (2008) (Epub 25 Apr 2008) PubMed ID:(18437229)


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