Results 161 to 170 of about 414,061 (317)

Exploring Scientific Application Performance Using Large Scale Object Storage

, 2018
One of the major performance and scalability bottlenecks in large scientific applications is parallel reading and writing to supercomputer I/O systems. The usage of parallel file systems and consistency requirements of POSIX, that all the traditional HPC
Sai Narasimhamurthy, Karim, Rami, Rami Karim, Markidis, Stefano, Stefano Markidis, Chien, Wei Der,, Erwin Laure, Steven Wei-der Chien, Laure, Erwin, Narasimhamurthy, Sai   +9 more
core   +1 more source

Bioinformatics and High-Performance Computing Methods for Deciphering and Fighting COVID-19-Editorial. [PDF]

BioTech (Basel), 2022
Cannataro M, Agapito G.
europepmc   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

Crowdsourcing and probabilistic decision-making in software engineering Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series./ [edited by] Varun Gupta.

, 2020
Includes bibliographical references and index."This book examines crowd-based software engineering. It explores effective solutions, automation supports, and case studies about crowd-based software engineering"--Chapter 1.
Gupta Varun
core  

Retracted: Dynamic Mechanism and Decision Analysis of Urban Exhibition Tourism Development Based on High-Performance Computing. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Retrievium – A Semantic Repository for Quantum Mechanical Structures

Performing quantum mechanical calculations at high levels of theory is computationally expensive, but often identical calculations have to be repeated by other researchers because they don't have access to the results of already completed jobs.

core  

COVID-19 Detection using adopted convolutional neural networks and high-performance computing. [PDF]

Multimed Tools Appl, 2023
Singh AK, Kumar A, Kumar V, Prakash S.
europepmc   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

MD-Ligand-Receptor: A High-Performance Computing Tool for Characterizing Ligand-Receptor Binding Interactions in Molecular Dynamics Trajectories. [PDF]

Int J Mol Sci, 2023
Pieroni M, Madeddu F, Di Martino J, Arcieri M, Parisi V, Bottoni P, Castrignanò T.   +6 more
europepmc   +1 more source