Search Results - "Comin, Matteo"

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  1. 1

    MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage by Qian, Jia, Comin, Matteo

    Published in BMC bioinformatics (22-11-2019)
    “…Sequencing technologies allow the sequencing of microbial communities directly from the environment without prior culturing. Because assembly typically…”
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    Journal Article
  2. 2

    MetaProb: accurate metagenomic reads binning based on probabilistic sequence signatures by Girotto, Samuele, Pizzi, Cinzia, Comin, Matteo

    Published in Bioinformatics (Oxford, England) (01-09-2016)
    “…Sequencing technologies allow the sequencing of microbial communities directly from the environment without prior culturing. Taxonomic analysis of microbial…”
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    Journal Article
  3. 3

    Better quality score compression through sequence-based quality smoothing by Shibuya, Yoshihiro, Comin, Matteo

    Published in BMC bioinformatics (22-11-2019)
    “…Current NGS techniques are becoming exponentially cheaper. As a result, there is an exponential growth of genomic data unfortunately not followed by an…”
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  4. 4
  5. 5

    Efficient computation of spaced seed hashing with block indexing by Girotto, Samuele, Comin, Matteo, Pizzi, Cinzia

    Published in BMC bioinformatics (30-11-2018)
    “…Spaced-seeds, i.e. patterns in which some fixed positions are allowed to be wild-cards, play a crucial role in several bioinformatics applications involving…”
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    Journal Article
  6. 6

    Fast alignment of reads to a variation graph with application to SNP detection by Monsu, Maurilio, Comin, Matteo

    Published in Journal of integrative bioinformatics (16-11-2021)
    “…Sequencing technologies has provided the basis of most modern genome sequencing studies due to its high base-level accuracy and relatively low cost. One of the…”
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  7. 7

    Higher recall in metagenomic sequence classification exploiting overlapping reads by Girotto, Samuele, Comin, Matteo, Pizzi, Cinzia

    Published in BMC genomics (06-12-2017)
    “…In recent years several different fields, such as ecology, medicine and microbiology, have experienced an unprecedented development due to the possibility of…”
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    Journal Article
  8. 8

    Alignment-free phylogeny of whole genomes using underlying subwords by Comin, Matteo, Verzotto, Davide

    Published in Algorithms for molecular biology (06-12-2012)
    “…With the progress of modern sequencing technologies a large number of complete genomes are now available. Traditionally the comparison of two related genomes…”
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  10. 10

    FSH: fast spaced seed hashing exploiting adjacent hashes by Girotto, Samuele, Comin, Matteo, Pizzi, Cinzia

    Published in Algorithms for molecular biology (22-03-2018)
    “…Patterns with wildcards in specified positions, namely , are increasingly used instead of -mers in many bioinformatics applications that require indexing,…”
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  11. 11

    Classification of protein sequences by means of irredundant patterns by Comin, Matteo, Verzotto, Davide

    Published in BMC bioinformatics (18-01-2010)
    “…The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety…”
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  12. 12

    Filtering Degenerate Patterns with Application to Protein Sequence Analysis by Comin, Matteo, Verzotto, Davide

    Published in Algorithms (01-06-2013)
    “…In biology, the notion of degenerate pattern plays a central role for describing various phenomena. For example, protein active site patterns, like those…”
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    Journal Article
  13. 13

    Enhanced Compression of k-Mer Sets with Counters via de Bruijn Graphs by Rossignolo, Enrico, Comin, Matteo

    Published in Journal of computational biology (01-06-2024)
    “…An essential task in computational genomics involves transforming input sequences into their constituent k -mers. The quest for an efficient representation of…”
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    Journal Article
  14. 14

    ClassGraph: Improving Metagenomic Read Classification with Overlap Graphs by Cavattoni, Margherita, Comin, Matteo

    Published in Journal of computational biology (01-06-2023)
    “…Current technologies allow the sequencing of microbial communities directly from the environment without prior culturing. One of the major problems when…”
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    Journal Article
  15. 15

    K2Mem: Discovering Discriminative K-mers From Sequencing Data for Metagenomic Reads Classification by Storato, Davide, Comin, Matteo

    “…The major problem when analyzing a metagenomic sample is to taxonomically annotate its reads to identify the species they contain. Most of the methods…”
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    Journal Article
  16. 16

    Covid-19 Pandemic’s Enduring Impact on Urban Mobility: The Case of Free-Floating Bike Sharing in Padova, Italy by Cavattoni, Margherita, Comin, Matteo, Silvestri, Francesco

    Published in Transportation research record (01-08-2024)
    “…The spread of the Covid-19 virus all around the globe drastically changed our lifestyles and our habits. Among all aspects affected by the pandemic, mobility…”
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  17. 17

    Assembly-free genome comparison based on next-generation sequencing reads and variable length patterns by Comin, Matteo, Schimd, Michele

    Published in BMC bioinformatics (10-09-2014)
    “…With the advent of Next-Generation Sequencing technologies (NGS), a large amount of short read data has been generated. If a reference genome is not available,…”
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    Journal Article
  18. 18

    MetaProb 2: Metagenomic Reads Binning Based on Assembly Using Minimizers and K-Mers Statistics by Andreace, Francesco, Pizzi, Cinzia, Comin, Matteo

    Published in Journal of computational biology (01-11-2021)
    “…Current technologies allow the sequencing of microbial communities directly from the environment without prior culturing. One of the major problems when…”
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    Journal Article
  19. 19

    Mining, compressing and classifying with extensible motifs by Apostolico, Alberto, Comin, Matteo, Parida, Laxmi

    Published in Algorithms for molecular biology (23-03-2006)
    “…Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion…”
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  20. 20

    SPRISS: approximating frequent k-mers by sampling reads, and applications by Santoro, Diego, Pellegrina, Leonardo, Comin, Matteo, Vandin, Fabio

    Published in Bioinformatics (27-06-2022)
    “…Abstract Motivation The extraction of k-mers is a fundamental component in many complex analyses of large next-generation sequencing datasets, including reads…”
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