16 citations · 53 across the 11 of their papers we have counts for
4 papers · 1 filter
SPRISS: Approximating Frequent -mers by Sampling Reads, and Applications
Diego Santoro, Leonardo Pellegrina, Fabio Vandin
The extraction of -mers is a fundamental component in many complex analyses of large next-generation sequencing datasets, including reads classification in genomics and the char…
Fast Approximation of Frequent -mers and Applications to Metagenomics
Leonardo Pellegrina, Cinzia Pizzi, Fabio Vandin
Estimating the abundances of all -mers in a set of biological sequences is a fundamental and challenging problem with many applications in biological analysis. While several met…
Efficient algorithms to discover alterations with complementary functional association in cancer
Rebecca Sarto Basso, Dorit S. Hochbaum, Fabio Vandin
Recent large cancer studies have measured somatic alterations in an unprecedented number of tumours. These large datasets allow the identification of cancer-related sets of genetic…
CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
Mark D. M. Leiserson, Hsin-Ta Wu, Fabio Vandin +1
Cancer is a heterogeneous disease with different combinations of genetic and epigenetic alterations driving the development of cancer in different individuals. While these alterati…