Andrea GulinoPolitecnico di Milano | Polimi
Andrea Gulino
Master of Science
About
12
Publications
1,051
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103
Citations
Citations since 2017
Publications
Publications (12)
Variant visualization plays an important role in supporting the viral evolution analysis, extremely valuable during the COVID-19 pandemic. VirusViz is a web-based application for comparing variants of selected viral populations and their sub-populations; it is primarily focused on SARS-CoV-2 variants, although the tool also supports other viral spe...
Patterns of somatic single nucleotide variants observed in human cancers vary widely between different tumor types. They depend not only on the activity of diverse mutational processes, such as exposure to ultraviolet light and the deamination of methylated cytosines, but largely also on the sequence content of different genomic regions on which th...
Motivation
With the spreading of biological and clinical uses of next-generation sequencing (NGS) data, many laboratories and health organizations are facing the need of sharing NGS data resources and easily accessing and processing comprehensively shared genomic data; in most cases, primary and secondary data management of NGS data is done at sequ...
In the last ten years, genomic computing has made gigantic steps due to Next Generation Sequencing (NGS), a high-throughput, massively parallel technology; the cost of producing a complete human sequence dropped to 1000 US$ in 2015 and is expected to drop below 100 US$ by 2020. Several new methods have recently become available for extracting heter...
Motivation:
We previously proposed a paradigm shift in genomic data management, based on the Genomic Data Model (GDM) for mediating existing data formats and on the GenoMetric Query Language (GMQL) for supporting, at a high level of abstraction, data extraction and the most common data-driven computations required by tertiary data analysis of Next...
Next Generation Sequencing is a 10-year old technology for reading the DNA, capable of producing massive amounts of genomic data - in turn, reshaping genomic computing. In particular, tertiary data analysis is concerned with the integration of heterogeneous regions of the genome; this is an emerging and increasingly important problem of genomic com...
Genome sequencing is expected to be the most prolific source of big data in the next decade; millions of whole genome datasets will open new opportunities for biological research and personalized medicine. Genome sequences are abstracted in the form of interesting regions, describing abnormalities of the genome. The parallel execution on the cloud...
Projects
Project (1)
GeCo (Data-Driven Genomic Computing) is an ERC Advanced Grant 2016-2021. It is focused on tertiary analysis for genomic data integration, as a new data-driven basic science based on a simple driving principle: data should express high-level properties of DNA regions and samples, high-level data management languages should express biological questions with simple, powerful, orthogonal abstractions. For more details, please visit: https://www.bioinformatics.deib.polimi.it/geco/.
