Speeding Hirschberg Algorithm for Sequence Alignment

04/27/2022
by   David Llorens, et al.
0

The use of Hirschberg algorithm reduces the spatial cost of recovering the Longest Common Subsequence to linear space. The same technique can be applied to similar problems like Sequence Alignment. However, the price to pay is a duplication of temporal cost. We present here a technique to reduce this time overhead to a negligible amount.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/04/2021

A Simple Algorithm for the Constrained Sequence Problems

In this paper we address the constrained longest common subsequence prob...
research
07/18/2023

LinearSankoff: Linear-time Simultaneous Folding and Alignment of RNA Homologs

The classical Sankoff algorithm for the simultaneous folding and alignme...
research
02/29/2016

Bioinformatics and Classical Literary Study

This paper describes the Quantitative Criticism Lab, a collaborative ini...
research
06/04/2014

ACO Implementation for Sequence Alignment with Genetic Algorithms

In this paper, we implement Ant Colony Optimization (ACO) for sequence a...
research
07/28/2023

Optimal Alignment of Temporal Knowledge Bases

Answering temporal CQs over temporalized Description Logic knowledge bas...
research
04/29/2023

Maximum Match Subsequence Alignment Algorithm Finely Grained (MMSAA FG)

Sequence alignment is common nowadays as it is used in many fields to de...
research
10/20/2019

SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs

Motivation: We introduce SneakySnake, a highly parallel and highly accur...

Please sign up or login with your details

Forgot password? Click here to reset