Cover Image

Pangenome-guided sequence assembly via binary optimisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cudby, Josh, Bonfield, James, Zhou, Chenxi, Durbin, Richard, Strelchuk, Sergii
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonvariational quantum optimisation approaches to pangenome-guided sequence assembly
by: Cudby, Josh, et al.
Published: (2026)

Parameterized quantum algorithms for closest string problems
by: Cudby, Josh, et al.
Published: (2025)

Learning Gaussian Operations and the Matchgate Hierarchy
by: Cudby, Joshua, et al.
Published: (2024)

Gaussian decomposition of magic states for matchgate computations
by: Cudby, Joshua, et al.
Published: (2023)

Quantum machine learning framework for longitudinal biomedical studies
by: Demidik, Maria, et al.
Published: (2025)

Early quantum computing applications on the path towards precision medicine
by: Flöther, Frederik F.
Published: (2024)

Adaptive cross-country optimisation strategies in thermal soaring birds
by: Keskin, Göksel, et al.
Published: (2024)

Validation of Golden Gate assemblies using highly multiplexed Nanopore amplicon sequencing
by: Rojas, Adan A. Ramirez, et al.
Published: (2024)

Density estimation for ordinal biological sequences and its applications
by: Chen, Wei-Chia, et al.
Published: (2024)

Oligonucleotide selective detection by levitated optomechanics
by: Wilson, Timothy, et al.
Published: (2025)

Synergistic Computational Approaches for Accelerated Drug Discovery: Integrating Quantum Mechanics, Statistical Thermodynamics, and Quantum Computing
by: Molani, Farzad, et al.
Published: (2025)

Kirchhoff's Current Law with Displacement Current
by: Eisenberg, Robert, et al.
Published: (2022)

Energy cost and optimisation in breath-hold diving
by: Trassinelli, Martino
Published: (2015)

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability
by: Di Caro, Giuseppe, et al.
Published: (2025)

Bases for optimising stabiliser decompositions of quantum states
by: de Silva, Nadish, et al.
Published: (2023)

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?
by: Choi, Junggu, et al.
Published: (2025)

Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods
by: Utro, Filippo, et al.
Published: (2025)

Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification
by: Krishnakumar, Rajiv, et al.
Published: (2025)

On Quantum Random Walks in Biomolecular Networks
by: Dubovitskii, Viacheslav, et al.
Published: (2025)

Fast computation of the statistical significance test for spatio-temporal receptive field estimates obtained using spike-triggered averaging of binary pseudo-random sequences
by: Okatan, Murat
Published: (2024)

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences
by: Buttenschoen, Martin, et al.
Published: (2023)

Integrating experimental feedback improves generative models for biological sequences
by: Calvanese, Francesco, et al.
Published: (2025)

Impact of phylogeny on structural contact inference from protein sequence data
by: Dietler, Nicola, et al.
Published: (2022)

High-precision chemical quantum sensing in flowing monodisperse microdroplets
by: Sarkar, Adrisha, et al.
Published: (2024)

A Hybrid Finite-Difference-Particle Method for Chemotaxis Models
by: Chertock, Alina, et al.
Published: (2024)

Integrating protein sequence embeddings with structure via graph-based deep learning for single-residue property prediction
by: Michalewicz, Kevin, et al.
Published: (2025)

RinQ: Towards predicting central sites in proteins on current quantum computers
by: Mohtashim, Shah Ishmam
Published: (2025)

Drug discovery guided by maximum drug likeness
by: Zhu, Hao-Yu, et al.
Published: (2025)

Blini: lightweight nucleotide sequence search and dereplication
by: Lavon, Amit
Published: (2025)

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer
by: Kunugi, Hayato, et al.
Published: (2026)

Fast uncovering of protein sequence diversity from structure
by: Silva, Luca Alessandro, et al.
Published: (2024)

Quantum Theory and Application of Contextual Optimal Transport
by: Mariella, Nicola, et al.
Published: (2024)

Self-assembling T7 phage syringes with modular genomes for targeted delivery of penicillin against beta-lactam-resistant Escherichia coli
by: Shim, Hyunjin
Published: (2024)

De novo peptide sequencing rescoring and FDR estimation with Winnow
by: Mabona, Amandla, et al.
Published: (2025)

Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
by: Chardès, Victor
Published: (2025)

A statistical significance test for spatio-temporal receptive field estimates obtained using spike-triggered averaging of binary pseudo-random sequences
by: Okatan, Murat
Published: (2024)

PatchWorkPlot: simultaneous visualization of local alignments across multiple sequences
by: Pospelova, Mariia, et al.
Published: (2025)

Single-Trajectory Bayesian Modeling Reveals Multi-State Diffusion of the MSH Sliding Clamp
by: Park, Seongyu, et al.
Published: (2025)

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder
by: Zarnaghinaghsh, Narges, et al.
Published: (2025)

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data
by: Handorf, Elizabeth A., et al.
Published: (2024)