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Matteo Comin
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2020 – today
- 2024
- [j35]Enrico Rossignolo
, Matteo Comin:
Enhanced Compression of k-Mer Sets with Counters via de Bruijn Graphs. J. Comput. Biol. 31(6): 524-538 (2024) - [c28]Enrico Rossignolo, Matteo Comin:
USTAR2: Fast and Succinct Representation of k-mer Sets Using De Bruijn Graphs. BIOSTEC (1) 2024: 368-378 - 2023
- [j34]Margherita Cavattoni
ClassGraph: Improving Metagenomic Read Classification with Overlap Graphs. J. Comput. Biol. 30(6): 633-647 (2023) - [c27]Eleonora Mian, Enrico Petrucci, Cinzia Pizzi, Matteo Comin:
Efficient Hashing of Multiple Spaced Seeds with Application. BIOINFORMATICS 2023: 155-162 - [c26]Enrico Rossignolo, Matteo Comin
USTAR: Improved Compression of k-mer Sets with Counters Using de Bruijn Graphs. ISBRA 2023: 202-213 - 2022
- [j33]Diego Santoro, Leonardo Pellegrina
SPRISS: approximating frequent k-mers by sampling reads, and applications. Bioinform. 38(13): 3343-3350 (2022) - [j32]Davide Storato, Matteo Comin
K2Mem: Discovering Discriminative K-mers From Sequencing Data for Metagenomic Reads Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 220-229 (2022) - [c25]Mattia Marcolin, Francesco Andreace, Matteo Comin:
Efficient k-mer Indexing with Application to Mapping-free SNP Genotyping. BIOINFORMATICS 2022: 62-70 - 2021
- [j31]Matteo Comin
Comparison of microbiome samples: methods and computational challenges. Briefings Bioinform. 22(1): 88-95 (2021) - [j30]Francesco Andreace
MetaProb 2: Metagenomic Reads Binning Based on Assembly Using Minimizers and K-Mers Statistics. J. Comput. Biol. 28(11): 1052-1062 (2021) - [j29]Jens Allmer
Special Issue of the 1st International Applied Bioinformatics Conference (iABC'21). J. Integr. Bioinform. 18(4) (2021) - [j28]Maurilio Monsu, Matteo Comin
Fast alignment of reads to a variation graph with application to SNP detection. J. Integr. Bioinform. 18(4) (2021) - [c24]Margherita Cavattoni, Matteo Comin
Boosting Metagenomic Classification with Reads Overlap Graphs. ISBRA 2021: 521-533 - 2020
- [j27]Enrico Petrucci, Laurent Noé, Cinzia Pizzi, Matteo Comin
Iterative Spaced Seed Hashing: Closing the Gap Between Spaced Seed Hashing and k-mer Hashing. J. Comput. Biol. 27(2): 223-233 (2020) - [c23]Francesco Andreace, Cinzia Pizzi, Matteo Comin:
MetaProb 2: Improving Unsupervised Metagenomic Binning with Efficient Reads Assembly Using Minimizers. ICCABS 2020: 15-25 - [c22]Davide Storato, Matteo Comin
Improving Metagenomic Classification Using Discriminative k-mers from Sequencing Data. ISBRA 2020: 68-81
2010 – 2019
- 2019
- [j26]Yoshihiro Shibuya, Matteo Comin
Better quality score compression through sequence-based quality smoothing. BMC Bioinform. 20-S(9): 302:1-302:11 (2019) - [j25]Jia Qian
MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage. BMC Bioinform. 20-S(9): 367:1-367:12 (2019) - [j24]Yoshihiro Shibuya, Matteo Comin
Indexing k-mers in linear space for quality value compression. J. Bioinform. Comput. Biol. 17(5): 1940011:1-1940011:15 (2019) - [c21]Yoshihiro Shibuya, Matteo Comin
Indexing k-mers in Linear-space for Quality Value Compression. BIOINFORMATICS 2019: 21-29 - [c20]Enrico Petrucci, Laurent Noé
Iterative Spaced Seed Hashing: Closing the Gap Between Spaced Seed Hashing and k-mer Hashing. ISBRA 2019: 208-219 - 2018
- [j23]Samuele Girotto
FSH: fast spaced seed hashing exploiting adjacent hashes. Algorithms Mol. Biol. 13(1): 8:1-8:11 (2018) - [c19]Jia Qian
Data-Driven Smart Bike-Sharing System by Implementing Machine Learning Algorithms. ES 2018: 50-55 - 2017
- [j22]Samuele Girotto
Metagenomic reads binning with spaced seeds. Theor. Comput. Sci. 698: 88-99 (2017) - [c18]Davide Marchiori, Matteo Comin
SKraken: Fast and Sensitive Classification of Short Metagenomic Reads based on Filtering Uninformative k-mers. BIOINFORMATICS 2017: 59-67 - [c17]Jia Qian
Fast and Sensitive Classification of Short Metagenomic Reads with SKraken. BIOSTEC (Selected Papers) 2017: 212-226 - [c16]Samuele Girotto
Binning metagenomic reads with probabilistic sequence signatures based on spaced seeds. CIBCB 2017: 1-8 - [c15]Samuele Girotto, Matteo Comin
Fast Spaced Seed Hashing. WABI 2017: 7:1-7:14 - [p1]Matteo Comin
Assembly-Free Techniques for NGS Data. Algorithms for Next-Generation Sequencing Data 2017: 327-355 - 2016
- [j21]Samuele Girotto
MetaProb: accurate metagenomic reads binning based on probabilistic sequence signatures. Bioinform. 32(17): 567-575 (2016) - [j20]Matteo Comin
On the comparison of regulatory sequences with multiple resolution Entropic Profiles. BMC Bioinform. 17: 130 (2016) - [c14]Samuele Girotto
Higher recall in metagenomic sequence classification exploiting Overlapping Reads. ICCABS 2016: 1 - 2015
- [j19]Matteo Comin
Clustering of reads with alignment-free measures and quality values. Algorithms Mol. Biol. 10: 4 (2015) - [c13]Matteo Comin, Morris Antonelli:
Fast Alignment-free Comparison for Regulatory Sequences using Multiple Resolution Entropic Profiles. BIOINFORMATICS 2015: 171-177 - 2014
- [j18]Matteo Comin
Assembly-free genome comparison based on next-generation sequencing reads and variable length patterns. BMC Bioinform. 15(S-9): S1 (2014) - [j17]Matteo Comin
Parallel Continuous Flow: A Parallel Suffix Tree Construction Tool for Whole Genomes. J. Comput. Biol. 21(4): 330-344 (2014) - [j16]Matteo Comin
Fast Entropic Profiler: An InformationTheoretic Approach for the Discovery ofPatterns in Genomes. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 500-509 (2014) - [j15]Matteo Comin
Beyond Fixed-Resolution Alignment-Free Measures for Mammalian Enhancers Sequence Comparison. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 628-637 (2014) - [c12]Matteo Comin
QCluster: Extending Alignment-Free Measures with Quality Values for Reads Clustering. WABI 2014: 1-13 - [e1]Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath C. Rajapakse:
Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings. Lecture Notes in Computer Science 8626, Springer 2014, ISBN 978-3-319-09191-4 [contents] - 2013
- [j14]Matteo Comin
Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms 6(2): 352-370 (2013) - [j13]Alberto Apostolico, Matteo Comin
Ultrametric networks: a new tool for phylogenetic analysis. Algorithms Mol. Biol. 8: 7 (2013) - [c11]Matteo Comin
Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection. DEXA Workshops 2013: 76-80 - [c10]Matteo Comin
Fast Computation of Entropic Profiles for the Detection of Conservation in Genomes. PRIB 2013: 277-288 - [c9]Matteo Comin
Efficient parallel construction of suffix trees for genomes larger than main memory. EuroMPI 2013: 211-216 - 2012
- [j12]Matteo Comin
Alignment-free phylogeny of whole genomes using underlying subwords. Algorithms Mol. Biol. 7: 34 (2012) - [c8]Matteo Comin
Whole-Genome Phylogeny by Virtue of Unic Subwords. DEXA Workshops 2012: 190-194 - 2011
- [j11]Matteo Comin
The Irredundant Class Method for Remote Homology Detection of Protein Sequences. J. Comput. Biol. 18(12): 1819-1829 (2011) - 2010
- [j10]Matteo Comin
Classification of protein sequences by means of irredundant patterns. BMC Bioinform. 11(S-1): 16 (2010) - [j9]Alberto Apostolico, Matteo Comin
VARUN: Discovering Extensible Motifs under Saturation Constraints. IEEE ACM Trans. Comput. Biol. Bioinform. 7(4): 752-762 (2010) - [i1]Matteo Comin, Davide Verzotto:
Remote Homology Detection of Protein Sequences. Structure Discovery in Biology: Motifs, Networks & Phylogenies 2010
2000 – 2009
- 2009
- [j8]Matteo Comin
Binding Balls: Fast Detection of Binding Sites Using a Property of Spherical Fourier Transform. J. Comput. Biol. 16(11): 1577-1591 (2009) - 2008
- [j7]Matteo Comin
Mining Overrepresented 3D Patterns of Secondary Structures in proteins. J. Bioinform. Comput. Biol. 6(6): 1067-1087 (2008) - [j6]Matteo Comin
Detection of subtle variations as consensus motifs. Theor. Comput. Sci. 395(2-3): 158-170 (2008) - 2007
- [j5]Giovanni Ciriello
Algorithmic re-structuring and data replication for protein structure comparison on a GRID. Future Gener. Comput. Syst. 23(3): 391-397 (2007) - [c7]Matteo Comin, Laxmi Parida:
Subtle Motif Discovery for Detection of DNA Regulatory Sites. APBC 2007: 27-36 - 2006
- [j4]Alberto Apostolico, Matteo Comin
Mining, compressing and classifying with extensible motifs. Algorithms Mol. Biol. 1 (2006) - [c6]Alberto Apostolico, Matteo Comin
Bridging Lossy and Lossless Compression by Motif Pattern Discovery. GTIT-C 2006: 793-813 - [c5]Giovanni Ciriello
Application re-structuring and data management on a grid environment: a case study for bioinformatics. IPDPS 2006 - 2005
- [j3]Alberto Apostolico, Matteo Comin
Bridging Lossy and Lossless Compression by Motif Pattern Discovery. Electron. Notes Discret. Math. 21: 219-225 (2005) - [c4]Alberto Apostolico, Matteo Comin, Laxmi Parida:
Off-Line Compression by Extensible Motifs. DCC 2005: 450 - [c3]Alberto Apostolico, Matteo Comin
Conservative extraction of over-represented extensible motifs. ISMB (Supplement of Bioinformatics) 2005: 9-18 - 2004
- [j2]Matteo Comin
PROuST: A Comparison Method of Three-Dimensional Structures of Proteins Using Indexing Techniques. J. Comput. Biol. 11(6): 1061-1072 (2004) - [j1]Matteo Comin
Grid Deployment Of Bioinformatics Applications: A Case Study In Protein Similarity Determination. Parallel Process. Lett. 14(2): 163-176 (2004) - [c2]Alberto Apostolico, Matteo Comin, Laxmi Parida:
Motifs in Ziv-Lempel-Welch Clef. Data Compression Conference 2004: 72-81 - [c1]Mario Cannataro, Matteo Comin
Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS. SAG 2004: 75-85
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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