Difference between revisions of "User:Fmancuso"

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* downstream analyses
 
* downstream analyses
 
* development of wiki lab service LIMS
 
* development of wiki lab service LIMS
 
 
 
 
 
You may contact me at +34 933160202 or by e-mail at the address mailto:francesco.mancuso@crg.es.
 

Revision as of 13:22, 15 October 2010

Francesco Mattia Mancuso

Fmancuso.jpg

Bioinformatician

Email: francesco.mancuso@crg.es

Phone: +34 933160202

Homepage(s): http://it.linkedin.com/in/frankmancuso


Francesco obtained the three years degree in Molecular Biotechnology in 2003 and the two years Master in Bioinformatics in 2006, both at the University of Milano-Bicocca. During the Bachelor thesis project he dealt with data analysis of microarrays, using bioinformatics and statistical tools. In the Master thesis project he dealt with planning and creation of Publime (Published Lists of Microarray Experiments), a mySQL database to collect published gene expression signatures, enabled for cross-platform gene annotation [1][2][3][4]. During this period he learnt perl programming, database and website developing and a number of bioinformatics tools for microarray and downstream analysis.

In 2006 he started to work at Primm, an international company in the area of biotechnology services, as bioinformatics and informatics technician. Here he was involved in database management of Microsoft SQL server, lab automation, development of bioinformatics and management tools in Visual Basic .NET and perl and web tools in ASP .NET.

In 2008 January, he moved to IEO at the IFOM-IEO Campus in Milan as bioinformatician. He worked in sharing with two groups: the Cogentech Mass Spectrometry Unit and the "Proteomics and functional genomics for the analysis of the different level of gene expression regulation" group. In both groups his principal aim was the statistical analysis of qualitative, quantitative proteomics data, developing tools and scripts in perl and R-Bioconductor.


My work at the Bioinformatics Unit:

  • qualitative, quantitative and statistical analysis of transcriptomics and proteomics data
  • development of pipelines in R for data analysis
  • downstream analyses
  • development of wiki lab service LIMS
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