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ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses

Related publications (31)

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Simple Summary: After domestication in specific regions, livestock followed human migrations and colonized the whole world. During this population expansion, human and natural selection, together with demographic events, molded the livestock genome leading ...

2021

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

Louis Pierre Faucon

The emergence of digital technology is changing education in many ways. A particularly interesting aspect of this transformation is the development of learning environments that can automatically adapt to individual students and can collect data in order t ...

EPFL2021

Parallel and Scalable Bioinformatics

Stuart Anthony Byma

The field of genomics is likely to become the largest producer of data as a consequence of the large-scale application of next-generation sequencing technology for biological research and personalized medical treatments. The raw sequence data produced by t ...

EPFL2020

DELF: Safeguarding deletion correctness in Online Social Networks

Georgios Damaskinos

Deletion is a core facet of Online Social Networks (OSNs). For users, deletion is a tool to remove what they have shared and control their data. For OSNs, robust deletion is both an obligation to their users and a risk when developer mistakes inevitably oc ...

USENIX ASSOC2020

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Sebastiaan Philippe Huber, Nicola Marzari, Giovanni Pizzi, Martin Uhrin

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pillars of the scientific discovery process. This has necessitated the developmen ...

2020

Materials Cloud, a platform for open computational science

Sebastiaan Philippe Huber, Nicola Marzari, Fernando Gargiulo, Giovanni Pizzi, Aliaksandr Yakutovich, Berend Smit, Martin Uhrin, Snehal Pramod Kumbhar, Spyros Zoupanos, Christoph Leopold Talirz, Elsa Passaro, Casper Welzel Andersen, Daniele Passerone

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their ...

2020

Progress Toward Interpretable Machine Learning-Based Disruption Predictors Across Tokamaks

Olivier Sauter, Alessandro Pau

In this paper we lay the groundwork for a robust cross-device comparison of data-driven disruption prediction algorithms on DIII-D and JET tokamaks. In order to consistently carry on a comparative analysis, we define physics-based indicators of disruption ...

TAYLOR & FRANCIS INC2020

Decentralized Industrial IoT Data Management Based on Blockchain and IPFS

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The wide application of Internet of Things (IoT) has fostered the development of Industry 4.0. In manufacturing domain, Industrial IoT (IIoT) are key components of the Factories of the Future (FoF). The big IIoT data are the foundation of implementing data ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

An Architecture for Load Balance in Computer Cluster Applications

Laurent Bindschaedler

Amid a data revolution that is transforming industries around the globe, computing systems have undergone a paradigm shift where many applications are scaled out to run on multiple computers in a computing cluster. As the storage and processing capabilitie ...

EPFL2020

Adaptive partitioning and indexing for in situ query processing

Anastasia Ailamaki, Manoussos Gavriil Athanassoulis, Ioannis Alagiannis, Matthaios Alexandros Olma, Manolis Karpathiotakis

The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. To alleviate the loading cost, in ...

SPRINGER2020

Computational study of transcription factor binding sites

Romain Fernand Pietro Groux

Any living organism contains a whole set of instructions encoded as genes on the DNA. This set of instructions contains all the necessary information that the organism will ever need, from its development to a mature individual to environment specific resp ...

EPFL2020