Results 81 to 90 of about 144,902 (310)

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

open access: yesAdvanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang   +9 more
wiley   +1 more source

Adjusting scheduling model with release and due dates in production planning

open access: yesCogent Engineering, 2017
Motivated by the conjecture that an interaction between scheduling and pre-scheduling phases in production planning may give certain benefits, we conduct a detailed study of the optimality conditions and dominance relations for a strongly NP-hard single ...
Elisa Chinos, Nodari Vakhania
doaj   +1 more source

Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction

open access: yesAdvanced Science, EarlyView.
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie   +9 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

Iterated Local Search Approach to a Single-Product, Multiple-Source, Inventory-Routing Problem

open access: yesMathematics
We address an inventory-routing problem that arises in a liquid oxygen-producing company. Decisions must be made for the efficient transport of the product from sources to destinations by means of a heterogeneous fleet of trucks.
Federico Alonso-Pecina   +3 more
doaj   +1 more source

Unveiling the Formation and Evolution of the Cathode–Electrolyte Interphase in Lithium–Sulfur Batteries

open access: yesAdvanced Science, EarlyView.
By integrating electrochemical impedance spectroscopy (EIS), background‐subtracted in situ Fourier‐transform infrared (FTIR) spectroscopy, and X‐ray absorption spectroscopy (XAS), this work reveals electrolyte decomposition and the reduced species involved in forming the cathode–electrolyte interphase (CEI) in lithium–sulfur batteries (LSBs), offering ...
Murilo Machado Amaral   +9 more
wiley   +1 more source

Dynamic Job and Conveyor-Based Transport Joint Scheduling in Flexible Manufacturing Systems

open access: yesApplied Sciences
Efficiently managing resource utilization is critical in manufacturing systems to optimize production efficiency, especially in dynamic environments where jobs continually enter the system and machine breakdowns are potential occurrences.
Sebastiano Gaiardelli   +3 more
doaj   +1 more source

Time‐Efficient and Informatic‐Skill‐Light Gap‐Filling for Telomere‐to‐Telomere Genome Assembly

open access: yesAdvanced Science, EarlyView.
The paper introduces a novel auxiliary software toolbox GapSuite, consisting of two tools Gap‐Aid and Gap‐Graph, which guides users to fill gaps in chromosome‐level genome assembly using sequence‐extension‐based and assembly‐graph‐based strategies. The two tools enable users with limited informatics expertise to efficiently complete gap‐filling on ...
Dong Xu   +8 more
wiley   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

open access: yesAdvanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang   +3 more
wiley   +1 more source

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