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Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]
, 2017 The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh +24 more
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Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Research Ideas and Outcomes, 2017 A proposal to create a full-semester zero-entry level course about the responsible handling of research data and the associated analyses, storage, and sharing. The syllabus will comprise open science workflows, the creation of data management plans, as well as the addressing issues about reproducibility and data sharing in science.
openaire +3 more sources
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
FEBS Letters, EarlyView.Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze +3 more
wiley +1 more source
The contribution of data mining to information science [PDF]
, 2004 The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge.
Chen, SY, Liu, X
core +2 more sources
Journal of Biosciences, 2019 Best practices from open data science are spreading across research fields, providing new opportunities for research and education. Open data science emphasizes the view that digitalization is enabling new forms of resource sharing, collaboration and outreach.
Shetty, Sudarshan A., Lahti, Leo
openaire +4 more sources
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma +8 more
wiley +1 more source
Any Data, Any Time, Anywhere: Global Data Access for Science
, 2015 Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) experiments. However, achieving efficient data access becomes quite difficult
Bloom, Kenneth +13 more
core +1 more source
Proceedings of the ACM on Programming Languages, 2020 Data science is increasingly important and challenging. It requires computational tools and programming environments that handle big data and difficult computations, while supporting creative, high-quality analysis. The R language and related software play a major role in computing for data science.
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Data Science in Economics [PDF]
, 2020 Abstract This paper provides the state of the art of data science in economics. Through a novel taxonomy of applications and methods advances in data science are investigated. The novel data science methods and applications are investigated in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning,
Saeed Nosratabadi +4 more
openaire +3 more sources