Entropy - OmicsDI

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Aerococcus urinae NBRC 15544 = CCUG 36881 (38)
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Organisms

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CHEBI:228322 (1)
CHEBI:228321 (1)
CHEBI:228319 (1)
CHEBI:228318 (1)
CHEBI:228317 (1)
CHEBI:228316 (1)
CHEBI:228315 (1)

Metabolite Name

O-acetylpachymic acid-25-ol (1)
Cis-9,cis-12-linoleic acid (1)
13-Tetradecenyl acetate (1)
8-(3-Heptyloxiran-2-yl)-1-methoxyocta-4,6-diyn-3-one (1)
Cymol (1)
Pachyman (1)
Delta-7-Stigmasterol (1)
Naphthalene,1,2,3,4-tetrahydro-1,5,7-trimethyl (1)
Poricoic acid G (1)
(Z)-methylisoeugenol (1)
Poricoic acid B (1)
(E)-4-Methoxycinnamic acid (1)
1(10)-Aristolen-2-one (1)
N,N-Dimethyldecanamide (1)
(3Z)-Hex-3-en-1-ol (1)
Acoramol (1)
1-Hydroxy-3,6,7-trimethoxy xanthone (1)
Poricoic acid D (1)
(9R,10S)-epoxyheptadecan-4,6-diyn-3-one (1)
Gomisin N (1)
Alpha-Humulene epoxide (1)
N, N-Diethylbenzylamine (1)
Altechromone A (1)
Onjisaponin E (1)
2,4-Dimethylcinnamic acid (1)
Onjisaponin G (1)
1,7-Dimethoxyxanthone (1)
Euphorbia factor I (1)
1,3-Dihydroxy-4,5-dimethoxyxanthone (1)
Tenuifoliose A (1)

IsPrivate

False (1)

First Public Date

2026 (21)
2025 (15)
2022 (14)
2024 (12)
2023 (7)
2020 (7)
2017 (6)
2021 (5)
2019 (5)
2018 (5)
2015 (4)
2014 (4)
2016 (2)
2013 (1)

Classification

viruses (5)

Modelling Approach

Ordinary differential equation model (1)

Study type

RNA-seq of coding RNA (21)
ChIP-seq (11)
RNA-seq of non coding RNA (9)
Methylation profiling by high throughput sequencing (3)
High-throughput sequencing (2)
Transcription profiling by array (2)
Cell line - High-throughput sequencing (1)
Methylation profiling by array (1)
RNA-seq of coding RNA from single cells (1)

Release Date

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2022 (845)
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2008 (54)
2006 (53)
2007 (48)
2005 (24)
2003 (13)
2004 (11)
2002 (11)
1999 (4)
2001 (3)
2000 (3)
1998 (2)
1996 (1)

Lab affiliation

Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland Faculty of Science, University of Zürich, Zürich, Switzerland (3)
Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland Faculty of Science, University of Zürich, Zürich, Switzerland (2)
University of Wisconsin-Madison (2)
BioArCh, Department of Archaeology, University of York (1)
Cambridge Institute for Medical Research, University of Cambridge (1)
Canada Research Chair in Bioinformatics University Professor David R. Cheriton School of Computer Science University of Waterloo, Ontario, Canada (1)
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria (1)
Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany (1)
Department of Biochemistry, University of California, Riverside, USA (1)
Department of Biochemistry, University of Oxford (1)
Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK; Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1PD, UK. (1)
Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland. Faculty of Science, University of Zürich, Zürich, Switzerland (1)
Department of Cell and Regenerative Biology, University ofWisconsin-Madison, Madison, Wisconsin, 53705, USA (1)
Department of Chemistry and Biochemistry Montana State University (1)
Director and Professor, School of Pharmaceutical Sciences (1)
Director, Proteome Center Rostock, University of Rostock, Germany (1)
European Molecular Biology Laboratory, 71 avenue des Martyrs, CS 90181 F-38042 Grenoble, France (1)
Head of the Molecular Biology and Biochemistry Laboratory EMBL Hamburg Notkestrasse 85, 22607 Hamburg, Germany (1)
Institut Pasteur, Université Paris Cité, CNRS UAR2024, Mass Spectrometry for Biology, Paris, 75015, France (1)
Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China (1)
Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China (lab head) (1)
Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland Faculty of Science, University of Zurich, Zurich, Switzerland (1)
Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland Faculty of Science, University of Zurich, Zurich, Switzerland (1)
Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Brazil and UNIGRANRIO-Universidade do Grande Rio, Caxias, Rio de Janeiro-Brazil (1)
Laboratory of Structural Biology and Cell Signaling Institute of Microbiology of the Czech Acad Sci Prumyslova 595 252 50 Vestec Czech Republic (1)
Living Systems Institute, University of Exeter, UK (1)
Mass Spectrometry for Biology Unit, Université Paris Cité, Institut Pasteur, CNRS UAR2024, Paris, France (1)
Mayo Clinic (1)
Michiagn State University (1)
Molecular Cell Biolody, Weizmann Institute of Science. (1)

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Spectral entropy as a measure of the metaproteome complexity

The diversity and complexity of the microbiome's genomic landscape are not always mirrored in its proteomic profile. Despite the anticipated proteomic diversity, observed complexities of microbiome sample are often lower than expected. Two main factors contribute to this discrepancy: limitations in ...

ORGANISM(S): gut metagenome

2024-05-27 | PXD050781 | Pride

Mapping specificity, entropy, allosteric changes and substrates in blood coagulation proteases by a high-throughput protease screen

Proteases are crucial physiologic regulators of protein structure and function. While proteomic methods contributed extensively to protease characterization efforts, technical challenges remain in terms of throughput, scalability and large datasets of protease cleavages remain scarce. Here, we descr...

ORGANISM(S): Homo sapiens (Human)

2021-02-05 | PXD018976 | Pride

High-throughput protease screen Substrates Blood coagulation proteases Specificity Entropy Allostery

DNA methylation entropy is a biomarker for aging

PRJNA1216266 | ENA

DNA methylation entropy is a biomarker for aging

The dynamic nature of epigenetic modifications has been leveraged to construct epigenetic clocks that accurately predict an individual’s age based on DNA methylation levels. Here we explore whether the accumulation of epimutations, which can be quantified by Shannon’s entropy, changes reproducibly w...

ORGANISM(S): Homo sapiens

2025-01-27 | GSE288139 | GEO

Unraveling the Mixing Entropy-Activity Relationship in High Entropy Alloy Catalysts: The More, The Better?

Not available

S-EPMC12903860 | biostudies-literature

(Multiscale) Cross-Entropy Methods: A Review.

Not available

S-EPMC7516475 | biostudies-literature

Amplitude- and Fluctuation-Based Dispersion Entropy.

Not available

S-EPMC7512725 | biostudies-literature

Pressure Injury Link to Entropy of Abdominal Temperature.