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"Vaccinology", according to Anthony Fauci, is being used in Covid Vaccines. By definition, he means that human trials can be skipped because of "In Silico", Bioinformatics Artificial Intelligence, Models and Scenario's from the WOPR (Whopper) computer. -- Nikola Tesla - "Today's scientists have substituted mathematics for experiments, and they wander off through equation after equation, and eventually build a structure which has no relation to reality. wallacegsmith.wordpress.com/2006/12/26/substituting-mathe... -- "Mathematical conclusions are not true, in and of themselves they are only true if (A) their underlying assumptions are true and (B) the laws of mathematical grammar and syntax that have been used to derive them are valid.". Artificial Intelligence (AI); like nano-particles like Thermerisol and all genetic material "vaccine's" are not regulated; aka "The Invisible" or "Corporate Secrets". This scenario is the same as Bill Gate's Microsoft not releasing their source code since 1993. Please release the source "code" behind Windows NT (Nikola Tesla), Vaccine's source code for models developed by "Vaccinology", and while your at it, the "code" for voting machines. en.wikipedia.org/wiki/Reverse_vaccinology
July 8, 2018
ISMBECCB 2019 Presentation
Torsten Schwede
Biozentrum, University of Basel & SIB Swiss Institute of Bioinformatics, Switzerland
SD EPSCoR and SDSU recently partnered to hold a bioinformatics workshop. Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Participants learned about tool discovery, meta-genomics, gene regulation and RNA-Seq. The workshop also showcased some of the bioinformatics tools developed by BioSNTR researchers. Thirty-four research professionals participated in the event.
14 November 2022 - ThankGod Ebenezer, European Molecular Biology Laboratory – European Bioinformatics Institute. Virtual Global Workshop on Digital Sequence Information and Genetic Resources for Food and Agriculture
Dr. Brian Enquist, an expert in ecology and evolutionary biology, brings to life a geographic inventory of forest assets for western North America. When coupled with the latest climate models, a high-resolution picture emerges of the health of our future forests. New advances in bioinformatics and mathematical modeling enable us, for the first time, to answer the question ‘what will the forest in my backyard look like?’ This presentation, produced in concert with the local Aspen Center for Environmental Studies, is cutting edge both in analyses and technological interface, and will demonstrate what we will experience over the coming decades if action on a grander scale is not taken. The science of climate change and forest health is revealing potentially dramatic implications for all of us, whether we be homeowners, recreationists, investors, insurers, or land developers.
Brian J. Enquist, Jerry Murdock, Chris Lane
Doerr-Hosier Center, McNulty Room
Dr. Joanna Kane-Potaka delivering lecture on "Communicating science through uptake strategies" during the session "Data Science Teaching & Scientific Communication" @ International Conference on Statistics & Big Data Bioinformatics in Agricultural Research dated November 23, 2016 in Ralph W Cummings Auditorium
Howest Proclamatie Advanced Bachelor of Bioinformatics en
Bachelor Biomedische Laboratoriumtechnologie
Stazione di Trento (Aspettando il treno per Monaco) :::
Trento's train station (waiting for the train to Munich)
Christopher L. Barrett, Executive Director, Virginia Bioinformatics Institute/Professor of Computer Science, Virginia Tech. Dr. Barrett’s talk entitled “Massively Interactive Systems: Thinking and Deciding in the Age of Big Data"
Abstract: This talk discusses advanced computationally assisted reasoning about large interaction-dominated systems. Current questions in science, from the biochemical foundations of life to the scale of the world economy, involve details of huge numbers and levels of intricate interactions. Subtle indirect causal connections and vastly extended definitions of system boundaries dominate the immediate future of scientific research. Beyond sheer numbers of details and interactions, the systems are variously layered and structured in ways perhaps best described as networks. Interactions include, and often co-create, these morphological and dynamical features, which can interact in their own right. Such “massively interacting” systems are characterized by, among other things, large amounts of data and branching behaviors. Although the amount of associated data is large, the systems do not even begin to explore their entire phase spaces. Their study is characterized by advanced computational methods. Major methodological revisions seem to be indicated.
Heretofore unavailable and rapidly growing basic source data and increasingly powerful computing resources drive complex system science toward unprecedented detail and scale. There is no obvious reason for this direction in science to change. The cost of acquiring data has historically dominated scientific costs and shaped the research environment in terms of approaches and even questions. In the several years, as the costs of social data, biological data and physical data have plummeted on a per-unit basis and as the volume of data is growing exponentially, the cost drivers for scientific research have clearly shifted from data generation to storage and analytical computation-based methods. The research environment is rapidly being reshaped by this change and, in particular, the social and bio–sciences are revolutionized by it. Moreover, the study of socially– and biologically–coupled systems (e.g., societal infrastructures and infectious disease public health policy analysis) is in flux as computation-based methods begin to greatly expand the scope of traditional problems in revolutionary ways.
How does this situation serve to guide the development of “information portal technology” for complex system science and for decision support? An example of an approach to detailed computational analysis of social and behavioral interaction with physical and infrastructure effects in the immediate aftermath of a devastating disaster will be described in this context.
Assistant Professor Dr Markus Göker and Dr Jan Meier-Kolthoff from the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH are among the world's most cited scientists (Global Highly Cited Researchers). The researchers from Braunschweig, Germany are on the 2021 list, published in November by the information and technology company Clarivate Analytics based on the publication database "Web of Science".
Dr. Markus Göker is head of the Phylogenomics and Nomenclature working group in the Department Bioinformatics and Databases. Dr. Jan Meier Kolthoff also belongs to this working group. Markus Göker is in the ranking for the third time and Jan Meier-Kolthoff for the second time. Based on the evaluation of the Institute for Scientific Information at Clarivate Analytics, the two DSMZ researchers have had a lasting and important impact on science as Highly Cited Researchers, which is reflected in the publication of various highly cited papers in the last decade (2011 to 2020). Both awards were given in the "cross-field" category, which includes researchers with a significant impact in and across multiple research fields. This underlines the DSMZ's role as an interdisciplinary infrastructure institution. The current ranking list can be found at recognition.webofscience.com/awards/highly-cited/2021.
In their publications researchers cite the most significant scientific papers that have already been published as the source for information presented. This results in the total number of citations of a scientific paper and this is an excellent indicator of the quality and relevance of the research behind it. To find out which researchers are cited most frequently, Clarivate analyses the "Web of Science" database once a year, which covers scientific publications from a wide range of scientific disciplines, and issues a ranking. The current ranking lists researchers who have been cited most frequently worldwide in their fields of expertise in the period from 2010 to 2020. The ranking list contains the names of 6,602 researchers - including three from Braunschweig: two from the DSMZ and one from the HZI/TU.
Press contact:
PhDr. Sven-David Müller, Head of Public Relations, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH
Phone: ++49 (0)531/2616-300
Mail: press@dsmz.de
About the Leibniz Institute DSMZ
The Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures is the world's most diverse collection of biological resources (bacteria, archaea, protists, yeasts, fungi, bacteriophages, plant viruses, genomic bacterial DNA as well as human and animal cell lines). Microorganisms and cell cultures are collected, investigated and archived at the DSMZ. As an institution of the Leibniz Association, the DSMZ with its extensive scientific services and biological resources has been a global partner for research, science and industry since 1969. The DSMZ is the first registered collection in Europe (Regulation (EU) No. 511/2014) and certified according to the quality standard ISO 9001:2015. As a patent depository, it offers the only possibility in Germany to deposit biological material in accordance with the requirements of the Budapest Treaty. In addition to scientific services, research is the second pillar of the DSMZ. The institute, located on the Science Campus Braunschweig-Süd, accommodates more than 79,000 cultures and biomaterials and has around 200 employees. www.dsmz.de
The Leibniz Association
The Leibniz Association connects 96 independent research institutions that range in focus from the natural, engineering and environmental sciences via economics, spatial and social sciences to the humanities. Leibniz Institutes address issues of social, economic and ecological relevance. They conduct knowledge-driven and applied basic research, maintain scientific infrastructure and provide research-based services. The Leibniz
Association identifies focus areas for knowledge transfer to policy-makers, academia, business and the public. Leibniz institutions collaborate intensively with universities - including in the form of "Leibniz ScienceCampi" - as well as with industry and other partners at home and abroad. They are subject to a transparent, independent evaluation. Because of their importance for the country as a whole, the Leibniz Association Institutes are funded jointly by Germany"s central and regional governments. The Leibniz Institutes employ around 20,500 people, including 11,500 researchers. The financial volume amounts to 2 billion euros. www.leibniz-gemeinschaft.de ... pr-gateway.de/t/411130
Howest Proclamatie Advanced Bachelor of Bioinformatics en
Bachelor Biomedische Laboratoriumtechnologie
Howest Proclamatie Advanced Bachelor of Bioinformatics en
Bachelor Biomedische Laboratoriumtechnologie
Se seguiamo i binari vediamo che si incontrano all' infino. ::: Looking at the rails we can notice an asyntotic point where the the rails touchs each other. :-D
According to a new market report published by Persistence Market Research “Global Market Study on Bioinformatics – Asia to Witness Fastest Growth by 2020,” the global bioinformatics market was valued at USD 4,110.6 million in 2014 and is expected to grow at a CAGR of 20.4% from 2014 to 2020, to reach an estimated value of USD 12,542.4 million in 2020.