Minimizing the Minimizers via Alphabet Reordering
May 07, 2024 Β· Declared Dead Β· π Annual Symposium on Combinatorial Pattern Matching
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Hilde Verbeek, Lorraine A. K. Ayad, Grigorios Loukides, Solon P. Pissis
arXiv ID
2405.04052
Category
cs.DS: Data Structures & Algorithms
Citations
1
Venue
Annual Symposium on Combinatorial Pattern Matching
Last Checked
4 months ago
Abstract
Minimizers sampling is one of the most widely-used mechanisms for sampling strings [Roberts et al., Bioinformatics 2004]. Let $S=S[1]\ldots S[n]$ be a string over a totally ordered alphabet $Ξ£$. Further let $w\geq 2$ and $k\geq 1$ be two integers. The minimizer of $S[i\mathinner{.\,.} i+w+k-2]$ is the smallest position in $[i,i+w-1]$ where the lexicographically smallest length-$k$ substring of $S[i\mathinner{.\,.} i+w+k-2]$ starts. The set of minimizers over all $i\in[1,n-w-k+2]$ is the set $\mathcal{M}_{w,k}(S)$ of the minimizers of $S$. We consider the following basic problem: Given $S$, $w$, and $k$, can we efficiently compute a total order on $Ξ£$ that minimizes $|\mathcal{M}_{w,k}(S)|$? We show that this is unlikely by proving that the problem is NP-hard for any $w\geq 2$ and $k\geq 1$. Our result provides theoretical justification as to why there exist no exact algorithms for minimizing the minimizers samples, while there exists a plethora of heuristics for the same purpose.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Data Structures & Algorithms
π
π
The Cartographer
R.I.P.
π»
Ghosted
Route Planning in Transportation Networks
R.I.P.
π»
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
π»
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
π»
Ghosted
Graph Isomorphism in Quasipolynomial Time
π
π
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted