Description<\/h4>\n\n- analysis of web and mobile applications<\/li>\n
- exploiting geo-located social interactions among\u00a0people, places and businesses (e.g., checkins)<\/li>\n<\/ul>\n\n
<\/p>\n
Bioinformatics @IRCC<\/h3>\nLaboratory Assistant Suite (LAS)<\/h3>\nTutor<\/h4>\n
Alessandro Fiori<\/a>,\u00a0Alberto Grand<\/a><\/p>\nDescription<\/h4>\n
Laboratory Assistant Suite<\/a>\u00a0(LAS) platform assists the researchers in different laboratory activities. Its modular architecture allows managing different kinds of raw data (e.g., biological, molecular) and tracking experimental data. Furthermore, the platform supports the integration of different resources and aids in performing a variety of analyses in order to extract knowledge related to tumors.<\/p>\nThe LAS architecture is the result of a joint effort by both IT researchers of\u00a0Database and Data Mining Group<\/a>\u00a0of Politecnico di Torino and biomedical researchers of\u00a0Institute for Cancer Research and Treatment\u00a0<\/a>(IRCC) of Candiolo (Italy).<\/p>\nApplication<\/em><\/p>\n\n- development of LAS modules oriented to data management, integration and analysis<\/li>\n
- development of biological data analysis in parallel and distributed environment<\/li>\n<\/ul>\n
<\/p>\n
Bioinformatics @IRCC<\/h3>\nGenome analysis<\/h3>\nTutor<\/span><\/h3>\nAlessandro Fiori<\/a>\nDescription<\/h4>\n
Next Generation Sequencing (NGS) enables rapid sequencing of large stretches of DNA base pairs spanning entire genomes, with some instruments capable of producing hundreds of gigabases of data in a single sequencing run.<\/p>\n
The NGS\u00a0data management and analysis\u00a0are complex and include:<\/p>\n
\n- sequence alignment<\/li>\n
- assembly of sequencing reads<\/li>\n
- quantification of read counts to provide information about\u00a0gene expression\u00a0levels<\/li>\n
- ad-hoc data structures to store raw data and analysis results<\/li>\n<\/ul>\n
Application<\/em><\/p>\n\n- innovative approaches to analyze next generation sequencing data of human genomes<\/li>\n
- analytical algorithms to identify genetic variants in tumors and in the blood of patients<\/li>\n
- implementation and optimization of analytical algorithms for identification and classification of genetic variants in paired comparative tests<\/li>\n
- development of software environment to define new analysis pipeline<\/li>\n<\/ul>\n
<\/p>\n
Bioinformatics @IRCC<\/h3>\nMicroaray data analysis<\/h3>\nTutor<\/span><\/h3>\nAlessandro Fiori<\/a>\nDescription<\/h4>\n
Microarrays are a powerful tool to analyze thousands of gene expression values with a single experiment.<\/p>\n
Several approaches have been developed to:<\/p>\n
\n- detecting genes highly correlated to diseases<\/li>\n
- selecting genes that exhibit a similar behavior under specific conditions<\/li>\n
- building models to predict disease outcome based on genetic profiles<\/li>\n
- inferring regulatory networks<\/li>\n<\/ul>\n
Application<\/em><\/p>\n\n- study of class discovery algorithms (e.g., clustering, bi-clustering)<\/li>\n
- identify robust gene markers by means of the integration of several classification methods<\/li>\n
- analysis of gene expression values over the time on data derived from xenopatients<\/li>\n<\/ul>\n
<\/h3>\nBioinformatics @IRCC<\/h3>\nVirtual Laboratory<\/h3>\nTutor<\/h3>\nAlessandro Fiori<\/a>\nDescription<\/h4>\n
![\"VirtualLab\"](\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2014\/01\/VirtualLab.png\")
<\/a>Biological laboratories need Next Generation LIMS (Laboratory Information Management Systems). The virtual reality can improve graphical user interfaces usability and the computer vision allows improving the efficiency of laboratory data-tracking procedures.\u00a0Interactive 3D visualization are very useful for real time representation of user activities and laboratory workflows.<\/p>\nProjects<\/em><\/p>\n\n- This project aims at realizing a virtual representation of life-science working environments based on 3D interactive models. The main goal is to develop a prototypic application for user friendly management of complex and hierarchical storage systems by means of 3D realistic representation of the physical containers and their interactions.<\/li>\n
- The thesis aims at exploiting computer vision for sensors-based real-time tracking of laboratory activities. The main goal is to develop a prototypic platform for automated monitoring of interactions between users, instruments and experimental material. A virtual representation of objects and activities is also foreseen to provide intuitive and user friendly GUIs.<\/li>\n<\/ul>\n
Applicants are expected to acquire the following<\/em><\/p>\n\n- Database (relational, NoSQL, GraphDB) design<\/li>\n
- Web design<\/li>\n
- 3D models design and rendering<\/li>\n
- Sensor and optical systems management<\/li>\n
- Programming (Python, Java)<\/li>\n
- 3D object recognition<\/li>\n
- Motion analysis<\/li>\n<\/ul>\n
<\/p>\n
Deedfactory\u00a0![\"logo_small\"](\"http:\/\/dbdmg.polito.it\/wordpress\/wp-content\/uploads\/2011\/11\/logo_small.png\")
<\/h3>\nTutor<\/h3>\nAlessandro Fiori<\/a>\nDescription<\/h4>\n
<\/p>\n
Bioinformatics @IRCC<\/h3>\nLaboratory Assistant Suite (LAS)<\/h3>\nTutor<\/h4>\n
Tutor<\/h4>\n
Alessandro Fiori<\/a>,\u00a0Alberto Grand<\/a><\/p>\n Laboratory Assistant Suite<\/a>\u00a0(LAS) platform assists the researchers in different laboratory activities. Its modular architecture allows managing different kinds of raw data (e.g., biological, molecular) and tracking experimental data. Furthermore, the platform supports the integration of different resources and aids in performing a variety of analyses in order to extract knowledge related to tumors.<\/p>\n The LAS architecture is the result of a joint effort by both IT researchers of\u00a0Database and Data Mining Group<\/a>\u00a0of Politecnico di Torino and biomedical researchers of\u00a0Institute for Cancer Research and Treatment\u00a0<\/a>(IRCC) of Candiolo (Italy).<\/p>\n Application<\/em><\/p>\n <\/p>\n Next Generation Sequencing (NGS) enables rapid sequencing of large stretches of DNA base pairs spanning entire genomes, with some instruments capable of producing hundreds of gigabases of data in a single sequencing run.<\/p>\n The NGS\u00a0data management and analysis\u00a0are complex and include:<\/p>\n Application<\/em><\/p>\n <\/p>\n Microarrays are a powerful tool to analyze thousands of gene expression values with a single experiment.<\/p>\n Several approaches have been developed to:<\/p>\n Application<\/em><\/p>\n Projects<\/em><\/p>\n Applicants are expected to acquire the following<\/em><\/p>\n <\/p>\nDescription<\/h4>\n
\n
Bioinformatics @IRCC<\/h3>\n
Genome analysis<\/h3>\n
Tutor<\/span><\/h3>\nAlessandro Fiori<\/a>\n
Description<\/h4>\n
\n
\n
Bioinformatics @IRCC<\/h3>\n
Microaray data analysis<\/h3>\n
Tutor<\/span><\/h3>\nAlessandro Fiori<\/a>\n
Description<\/h4>\n
\n
\n
<\/h3>\n
Bioinformatics @IRCC<\/h3>\n
Virtual Laboratory<\/h3>\n
Tutor<\/h3>\nAlessandro Fiori<\/a>\n
Description<\/h4>\n
<\/a>Biological laboratories need Next Generation LIMS (Laboratory Information Management Systems). The virtual reality can improve graphical user interfaces usability and the computer vision allows improving the efficiency of laboratory data-tracking procedures.\u00a0Interactive 3D visualization are very useful for real time representation of user activities and laboratory workflows.<\/p>\n\n
\n
Deedfactory\u00a0
<\/h3>\nTutor<\/h3>\nAlessandro Fiori<\/a>\n
Description<\/h4>\n