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ALPACA

We are partecipating to the Alpaca project (ALgorithms for PAngenome Computational Analysis); an EU funded Innovative Training Network for talented PhD Students. In view of ultra-large amounts of genome sequence data emerging from rapidly advancing genome sequencing devices the driving, urgent question is: How can we arrange and analyze these data masses in a formally […]

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Pangaia

We are leading the PANGAIA project (Pangenome Graph Algorithms and Data Integration); a EU funded project for filling the gap between the rapidly increasing power of DNA sequencing technologies and the current limitations in resolving the inherent complexity of the forthcoming volumes of data.The leitmotif is to train young researchers in the area of computational […]

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First Workshop On Pangenomics Algorithms for Omics Data

June 21st, 2019 Univ. Milano-Bicocca. U6 Building – Room Martini (floor -1). Theme and scope Computational Pangenomics wants to produce the computational tools for transitioning from a sequence-based genome to graph-based reference genomes, where variants of huge cohorts are represented in a unified way. Transcriptomics was the first field where the need of imposing a […]

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Stage: Paralellizazione algoritmo di Simulated Annealing per inferenza di progressioni tumorali

Descrizione Recenti sviluppi riguardanti terapie specializzate per il trattamento di tumorali si basano su una accurata inferenza della progressione della malattia. Riuscire a capire l’ordine e la frequenza con cui le variazione somatiche vengono acquisite durante una progressione tumorale può aiutare a meglio definire strategie specifiche di trattamento della malattia. Recentemente il laboratorio di ricerca […]

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Stage: Ottimizzazione algoritmo di Maximum Likelihood per inferenza di progressioni tumorali

Descrizione Recenti sviluppi riguardanti terapie specializzate per il trattamento di tumorali si basano su una accurata inferenza della progressione della malattia. Riuscire a capire l’ordine e la frequenza con cui le variazione somatiche vengono acquisite durante una progressione tumorale può aiutare a meglio definire strategie specifiche di trattamento della malattia. Recentemente il laboratorio di ricerca […]

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Algolab at ICCABS 2018

ICCABS 2018 is the 8th edition of a series of well-established scientific conferences aiming to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences. The 2018 edition was held in Las Vegas from Octtober, 18th through 20th of 2018. Simone Ciccolella presented a talk: […]

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Algolab at Recomb 2018

RECOMB 2018 is the 22nd edition of a series of well-established scientific conferences bridging the areas of computational, mathematical, statistical and biological sciences.  The 2018 edition was held in  Paris from April, 21st through 24th of 2018, and was preceded by a series of satellite workshops on the 19th-20th of April. Luca Denti and Murray […]

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Advanced Techniques for Combinatorial Algorithms (2018)

This is the first PhD-level course on the design and the analysis of efficient algorithms, with a strong emphasis on theoretical aspects. The prerequisites are a very basic knowledge of graph theory and computational complexity, as well as a good understanding of undergraduate-level courses of algorithms, discrete mathematics, and operation research. It is not necessary […]

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Workshop on Combinatorial Algorithms in Bioinformatics

January 26th, 2018 Univ. Milano-Bicocca. Building U14 – Room Aula Seminari Theme and scope The ever increasing amount of biological data available requires more efficient tools for managing and analyzing those data. While a widely used line of attack is to throw huge computational resources at the problem and using known methods as black boxes […]

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AlgoDay 2017

When 26 July 2017 Where Sala Seminari, U14, DISCo, Univ. Milano-Bicocca Why We are witnessing an explosion in the availability of data, ranging from social media interactions, to biological sequences, to sensor data, which share the huge availability and low cost. Since those data are, by far, impractical or impossible to keep in memory, we […]

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