Identifying draught cattle in the past: Lessons from large-scale analysis of archaeological datasets

In the past, there has been an implicit assumption that discussion threads in distance education courses develop according to the needs and interests of conference participants, the requirements of the course, and the nature of the instructor's online facilitation. The findings in this article suggest that other factors may also be at play. A large-scale analysis of threads and their growth patterns reveals a bias in favor of elongated note structures. This bias is explained by a tendency for computer conference users to focus on recently introduced notes and a reduced tendency to re-visit older, more established notes. Consequently, the most recent notes in each thread are the ones most likely to drive the next round of responses. Educationally, this situation can be problematic if an excessive focus on new notes unintentionally shifts attention away from important issues. Strategies for addressing these concerns are discussed.

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Faculty Opinions recommendation of Large-scale analysis of human alternative protein isoforms: pattern classification and correlation with subcellular localization signals.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1026748.325361 ◽

2005 ◽

Author(s):

Arcady Mushegian

Keyword(s):

Subcellular Localization ◽

Pattern Classification ◽

Large Scale ◽

Protein Isoforms ◽

Scale Analysis ◽

Large Scale Analysis ◽

Alternative Protein

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Faculty Opinions recommendation of Large-scale analysis of transcriptional cis-regulatory modules reveals both common features and distinct subclasses.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1088216.541234 ◽

2007 ◽

Author(s):

Susan Mango

Keyword(s):

Large Scale ◽

Scale Analysis ◽

Regulatory Modules ◽

Common Features ◽

Large Scale Analysis

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Faculty Opinions recommendation of Large-Scale Analysis of Hydrogen Bond Interaction Patterns in Protein-Ligand Interfaces.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.727608962.793532353 ◽

2017 ◽

Author(s):

Diana Wetmore

Keyword(s):

Hydrogen Bond ◽

Large Scale ◽

Interaction Patterns ◽

Scale Analysis ◽

Hydrogen Bond Interaction ◽

Bond Interaction ◽

Large Scale Analysis

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Investigating Molecular Recognition Through Large-scale Analysis of Protein Sequences and Structures

10.21236/ada383741 ◽

2000 ◽

Author(s):

Mark Gerstein

Keyword(s):

Molecular Recognition ◽

Large Scale ◽

Protein Sequences ◽

Scale Analysis ◽

Large Scale Analysis

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Всероссийское совещание “Летопись Природы Евразии: крупномасштабный анализ изменяющихся экосистем” / Eurasian chronicle of nature: large scale analysis of changing ecosystems (ECN) 6–10 ноября 2017 г.

Агрохимия ◽

10.1134/s0002188119020091 ◽

2019 ◽

pp. 95-96

Author(s):

О.А. Лучицкая ◽

Н.Н. Зеленская

Keyword(s):

Large Scale ◽

Scale Analysis ◽

Large Scale Analysis

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Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches

Natural Product Reports ◽

10.1039/d1np00023c ◽

2021 ◽

Author(s):

Mehdi A. Beniddir ◽

Kyo Bin Kang ◽

Grégory Genta-Jouve ◽

Florian Huber ◽

Simon Rogers ◽

...

Keyword(s):

Natural Product ◽

Large Scale ◽

Scale Analysis ◽

Computational Tools ◽

Natural Product Discovery ◽

Large Scale Analysis ◽

Metabolite Annotation

This review highlights the key computational tools and emerging strategies for metabolite annotation, and discusses how these advances will enable integrated large-scale analysis to accelerate natural product discovery.

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