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ORCIDAntoine Limasset
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2020 – today
- 2023
[j9]Camille Marchet, Antoine Limasset:
Scalable sequence database search using partitioned aggregated Bloom comb trees. Bioinform. 39(Supplement-1): 252-259 (2023)- [j8]Giulio Ermanno Pibiri, Yoshihiro Shibuya, Antoine Limasset:
Locality-preserving minimal perfect hashing of k-mers. Bioinform. 39(Supplement-1): 534-543 (2023) - [c5]Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset:
Fractional Hitting Sets for Efficient and Lightweight Genomic Data Sketching. WABI 2023: 15:1-15:27 - 2022
- [c4]Clément Agret, Bastien Cazaux, Antoine Limasset:
Toward Optimal Fingerprint Indexing for Large Scale Genomics. WABI 2022: 25:1-25:15 - [i7]Giulio Ermanno Pibiri, Yoshihiro Shibuya, Antoine Limasset:
Locality-Preserving Minimal Perfect Hashing of k-mers. CoRR abs/2210.13097 (2022) - 2021
- [j7]Camille Marchet
, Maël Kerbiriou, Antoine Limasset:
BLight: efficient exact associative structure for k-mers. Bioinform. 37(18): 2858-2865 (2021) - 2020
- [j6]Antoine Limasset, Jean-François Flot, Pierre Peterlongo:
Toward perfect reads: self-correction of short reads via mapping on de Bruijn graphs. Bioinform. 36(2): 651 (2020) - [j5]Antoine Limasset, Jean-François Flot, Pierre Peterlongo:
Toward perfect reads: self-correction of short reads via mapping on de Bruijn graphs. Bioinform. 36(5): 1374-1381 (2020) - [j4]Camille Marchet, Lolita Lecompte, Antoine Limasset, Lucie Bittner, Pierre Peterlongo:
A resource-frugal probabilistic dictionary and applications in bioinformatics. Discret. Appl. Math. 274: 92-102 (2020)
2010 – 2019
- 2017
- [b1]Antoine Limasset:
Novel approaches for the exploitation of high throughput sequencing data. (Nouvelles approches pour l'exploitation des données de sequençage haut débit). University of Rennes 1, France, 2017 - [c3]Antoine Limasset, Guillaume Rizk, Rayan Chikhi, Pierre Peterlongo:
Fast and Scalable Minimal Perfect Hashing for Massive Key Sets. SEA 2017: 25:1-25:16 - [i6]Antoine Limasset, Guillaume Rizk, Rayan Chikhi, Pierre Peterlongo:
Fast and scalable minimal perfect hashing for massive key sets. CoRR abs/1702.03154 (2017) - [i5]Camille Marchet, Lolita Lecompte, Antoine Limasset, Lucie Bittner, Pierre Peterlongo:
A resource-frugal probabilistic dictionary and applications in bioinformatics. CoRR abs/1703.00667 (2017) - [i4]Antoine Limasset, Jean-François Flot, Pierre Peterlongo:
Toward perfect reads. CoRR abs/1711.03336 (2017) - 2016
- [j3]Rayan Chikhi, Antoine Limasset, Paul Medvedev:
Compacting de Bruijn graphs from sequencing data quickly and in low memory. Bioinform. 32(12): 201-208 (2016) - [j2]Antoine Limasset, Bastien Cazaux, Eric Rivals, Pierre Peterlongo:
Read mapping on de Bruijn graphs. BMC Bioinform. 17: 237 (2016) - [c2]Camille Marchet, Antoine Limasset, Lucie Bittner, Pierre Peterlongo:
A Resource-frugal Probabilistic Dictionary and Applications in (Meta)Genomics. Stringology 2016: 85-97 - [i3]Camille Marchet, Antoine Limasset, Lucie Bittner, Pierre Peterlongo:
A resource-frugal probabilistic dictionary and applications in (meta)genomics. CoRR abs/1605.08319 (2016) - 2015
- [j1]Rayan Chikhi, Antoine Limasset, Shaun Jackman, Jared T. Simpson, Paul Medvedev:
On the Representation of De Bruijn Graphs. J. Comput. Biol. 22(5): 336-352 (2015) - [i2]Antoine Limasset, Pierre Peterlongo:
Read Mapping on de Bruijn graph. CoRR abs/1505.04911 (2015) - 2014
- [c1]Rayan Chikhi, Antoine Limasset, Shaun Jackman, Jared T. Simpson, Paul Medvedev:
On the Representation of de Bruijn Graphs. RECOMB 2014: 35-55 - [i1]Rayan Chikhi, Antoine Limasset, Shaun Jackman, Jared T. Simpson, Paul Medvedev:
On the representation of de Bruijn graphs. CoRR abs/1401.5383 (2014)
Coauthor Index
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