Results 41 to 50 of about 823,231 (362)
Frontiers in Bioengineering and Biotechnology, 2021 We have developed a LCMS metabolomic workflow to investigate metabolic patterns from human intestinal cells treated with simulated gastrointestinal-digested hydrolyzed crab waste materials.
Fionn Ó Fearghail +3 more
doaj +1 more source
Utility driven adaptive workflow execution
, 2009 Workflows are widely used in applications that require coordinated use of computational resources. Workflow definition languages typically abstract over some aspects of the way in which a workflow is to be executed, such as the level of parallelism to be
Fernandes, A.A.A. +11 more
core +1 more source
D7.1: A library of workflows and workflow nodes
, 2018 The main goal of the workpackage (WP7) is to investigate state-of-the-art IT infrastructure needed for multi-partner, multi-site, multi-component industrial biotechnology projects. The workpackage has four objectives and the deliverable is linked to the first.
Goble, Carole, Faulon, Jean-Loup
openaire +1 more source
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
VicinagearthThe pursuit of more intelligent and credible autonomous systems, akin to human society, has been a long-standing endeavor for humans. Leveraging the exceptional reasoning and planning capabilities of large language models (LLMs), LLM-based agents have ...
Xinyi Li +4 more
semanticscholar +1 more source
Sentinel-1 GRD Preprocessing Workflow
Proceedings, 2019 The Copernicus Programme has become the world’s largest space data provider, providing complete, free and open access to satellite data, mainly acquired by Sentinel satellites.
F. Filipponi
semanticscholar +1 more source
mSystems, 2021 The DOE JGI Metagenome Workflow is designed for processing metagenomic data sets starting from Illumina fastq files. It performs data preprocessing, error correction, assembly, structural and functional annotation, and binning.
Alicia Clum +18 more
semanticscholar +1 more source
Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey
IEEE Access, 2021 Big Data Proteogenomics lies at the intersection of high-throughput Mass Spectrometry (MS) based proteomics and Next Generation Sequencing based genomics.
Muhammad Usman Tariq +5 more
doaj +1 more source
Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses
F1000Research, 2016 High-throughput sequencing of PCR-amplified taxonomic markers (like the 16S rRNA gene) has enabled a new level of analysis of complex bacterial communities known as microbiomes. Many tools exist to quantify and compare abundance levels or OTU composition
B. Callahan +4 more
semanticscholar +1 more source
IEEE Access, 2023 Efficient task scheduling on the cloud is critical for optimal utilization of resources in data centers. It became even more challenging with the emergence of 5G and IoT applications that generate massive number of tasks with stringent latency ...
Zulfiqar Ali Khan +3 more
doaj +1 more source
Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning
Science, 2019 Predicting catalyst selectivity Asymmetric catalysis is widely used in chemical research and manufacturing to access just one of two possible mirror-image products.
Andrew F. Zahrt +5 more
semanticscholar +1 more source