High-performance sequence processing
9
Application to sequence filtering
PhD Thesis
Abstract
Introduction
1
Comparing genomic sequences
2
Comparing using k-mers
3
Sketching sequences
4
Sampling with minimizers
High-performance sequence processing
5
An intro to vectorization
6
Vectorized sequence parsing
7
Rolling hashes on sequences
8
Vectorized computation of minimizers
9
Application to sequence filtering
Locality-preserving representations of k-mer sets
10
Background on k-mer sets
11
Necklaces and minimizers
12
Set representation and operations
13
Super-k-mers maps
14
Sketching super-k-mers
Sampling k-mers to lower memory & complexity
15
Background on minimizers
16
Multiminimizers
17
Locally-consistent phrases
18
Lexicographic-informed sampling
Discussion & conclusion
References
High-performance sequence processing
9
Application to sequence filtering
9
Application to sequence filtering
See
(
Martayan
et al.
, 2025
)
and
deacon
Martayan
, I.,
Vandamme
, L.,
Constantinides
, B.,
Cazaux
, B.,
Paperman
, C., &
Limasset
, A. (2025) Accelerating k-mer-based sequence filtering.
bioRxiv
, DOI:
10.1101/2025.06.16.659853
.
8
Vectorized computation of minimizers
Locality-preserving representations of k-mer sets