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Custom made by Atelier Shanti (Jerome's sister). Original slogan by Matt Ward summarizing PaperCamp LDN...
Ophiux (2016)
For her upcoming touring exhibition at Sonic Acts - against the backdrop of the emergent field of computational biology and the Google Genomics project - she invented Ophiux, a speculative pharmaceutical company, imagining its use of genetic sequencing equipment and biological machines to collect data from humans and to sample data from other organisms. Holder explains: âIt seems as if everything has become a branch of computer science, even our own bodies probed, imaged, modelled and mapped: re-drawn as digital informationâ.
Ophiux was originally commissioned by Wysing Arts Centre, Cambridge, with funding from Arts Council England in 2016. The film was co-commissioned with Deptford X, London. With thanks to Dr Marco Galardini, Computational Biologist at the European Bioinformatics Institute at the Wellcome Trust Genome Campus, Cambridge, Dr Katrin Linse, Senior Biodiversity Biologist at the British Antarctic Survey, Cambridge, Alex Walker, Graphic Designer and AJA, Sound Design.
Photo showing Sepp Hochreiter (AT) Head of Institute of Bioinformatics, Johannes Kepler University Linz at Spaxels Research Initiative conference.
credit: tom mesic
Figure 2 from Structural Evolution of the ABC Transporter Subfamily B Published in Evolutionary Bioinformatics
Free Preview Lecture
"Biology, Translational Pharmacology & Toxicology Computation" Online Course at Udemy
www.udemy.com/biology-translational-pharmacology-toxicolo...
Description
Compared with conventional reductionist track that tries to demonstrate complicated ailments by examining human gene, Systems Biology is described by the vision that the implied mechanism of complicated ailments is likely to become the dysregulation of diverse interconnected cellular paths.
With the development of technology and science, Translational Pharmacology has developed as a modern branch to face todayâs healthcare requirement and is believed as an expansion of clinical pharmacology.
Pharmacogenetics survey for the target of medication improvement has, in the past, concentrated almost completely on the impact of differences in human genes for giving rise to a particular adverse effect.
Computational Toxicology is actually a vibrant and quickly improving branch that combines data and information from a diversity of sources to improve mathematical and computer-founded models to better recognize and foresee adverse health impacts caused via chemicals, like pharmaceuticals and environmental pollutants.
A perfect ontology should authorize the mapping of datum at different standards of hierarchy. Computational designing of biological frameworks can accomplish combination along various dimensions.
In Summary, Bricolage is actually a methodological procedure that, in case of a public situation, alters and develops not only while but for the sake of the course activity. To do this demands a track of (Biology-Transnational Pharmacology-Toxicology Computation) as an interdisciplinarity approach where habitual disciplinary borders are not merely crossed but the analytical scopes of these diverse disciplines are actively used.
Who this course is for:
People from whole of the world, who have an interest in the following approaches: 1) Biology, 2) Translational Pharmacology, 3) Computational Toxicology, 4) Pharmacogenetics, 5) Computational Modeling Tactics, 6) The Art of Literature, 7) Chemical Biology, 8) Biochemistry, 9) Cheminformatics, 10) Bioinformatics, and 11) Biomedicine. And this course contains thirty-nine resource.
By Maram Abdel Nasser Taha Shtaya
Pharmacist, American Studies Instructor, Author and Researcher who is teaching on Udemy.
For outstanding projects in the area of clinical, biochemical or behavioral neurobiology or bioinformatics.
Alicia Darnell - Pelham HS
Justinne Orjuela - White Plains HS
Anisha Kumar - Edgemont HS
Adam Mortimer - Briarcliff Hs
Danielle Cornacchio - Briarcliff HS
Amanda Jacobowitz - Irvington Hs
Daniel Barson - John Jay HS
Caitlyn Lia - Ossining HS
Stephanie Capogna - Yorktown HS
Mark Cinali - Fox Lane HS
Allison Terlizzi - Fox Lane HS
Asha Smith - Ossining HS
Lacey Gleason - Yorktown HS
Kareem Ishmail - Sleepy Hollow HS
James Jones - Fox Lane HS
Micheal Hua - Eastchester HS
Myers - Briarcliff HS
Mogil - Briarcliff HS
Edelstein - Briarcliff HS
Gavin Conant, assistant professor bioinformatics, teaches his genomics class in the Animal Sciences Research Center.
Photo by Kyle Spradley | Š 2014 - Curators of the University of Missouri
Photo showing Nick Goldman (UK), who works at the European Bioinformatics Institute in Hinxton (UK)) during his speech at the "TOTAL RECALL â Symposium â Panel 2".
Credit: tom mesic
Gracie Hobbs, Rose Millay, and Annie Miller
Life Science Academy: Owensboro High School, Daviess County High School and Apollo
High School
Mentor: Natalie Mountjoy and Chandra Emani
Globally, 18.7 million (8%) adults and 6.8 million (9.3%) children suffer from asthma. More than
3,500 people die annually due to complications of this chronic lung disease. In partnership with
Western Kentucky University- Owensboro, we wanted to determine the evolutionary origins of
asthma in the human genome using the principles of bioinformatics (i.e., the application of
computer technology to the management of biological information). Interleukin 13 has been
identified as one gene related to asthma. Using PubMed, a biomedical database maintained by the
National Center for Biotechnology Information (NCBI), we identified the gene sequence of
Interleukin 13. We investigated the origins of the gene using basic local alignment search tools
(BLASTs), which use algorithms to compare DNA sequences, taxonomy reports and resulting
distance trees to create an evolutionary diagram of the geneâs existence in various species. We
found evidence that Interleukin 13 may have originated in the platypus (Ornithorhynchus
anatinus), an egg-laying mammal native to Australia. Understanding the evolutionary history of
Interleukin 13 may aid in developing successful treatments for asthma.
Figure 7 from Minimizing Contradictions on Circular Order of Phylogenic Trees Published in Evolutionary Bioinformatics
Figure 3 from Association Between a Prognostic Gene Signature and Functional Gene Sets Published in Bioinformatics and Biology Insights
Dr. Zhijun Li was selected as the eighth recipient of the Foundersâ Day Faculty Award of Merit. As an associate professor of bioinformatics in the Department of Chemistry & Biochemistry, Zhijun has developed a number of research projects which focus on health-related applications and drug design. He's pictured here with University Provost Dr. Heidi Anderson.
DataBiNS: a BioMoby-based data-mining workflow for biological pathways and non-synonymous SNPs
Young C. Song, Edward Kawas, Ben M. Good , Mark D. Wilkinson and Scott J. Tebbutt
Bioinformatics 2007 23(6):780-782
DOI:10.1093/bioinformatics/btl648
Workflow available at www.cs.man.ac.uk/~hulld/workflows/DataBiNS.xml and www.mrl.ubc.ca/who/s-tebbutt/DataBiNS Supplementary Information.zip
Nick Goldman (European Bioinformatics Institute, EMBL) speaking in the EIROforum session "Decoding the origin, fabric, and fate of life and the Universe" at the Euroscience Open Forum 2014, held in Copenhagen.
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Bioinformatics major from Brampton, Ontario
âBioinformatic Investigations of Long Non-Coding
RNA Molecules (lncRNAs) and Heart Failureâ
Figure 4 from Structural and Functional Insights on the Myosin Superfamily Published in Bioinformatics and Biology Insights
Christopher L. Barrett, Executive Director, Virginia Bioinformatics Institute/Professor of Computer Science, Virginia Tech. Dr. Barrettâs talk entitled âMassively 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 âmassively interactingâ 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 bioâsciences are revolutionized by it. Moreover, the study of sociallyâ and biologicallyâcoupled 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 âinformation portal technologyâ 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.
Figure S3.4 from Major Functional Transcriptome of an Inferred Center Regulator of an ER(-) Breast Cancer Model System Published in Cancer Informatics
Photo showing Nick Goldman (UK), who works at the European Bioinformatics Institute in Hinxton (UK)) during his speech at the "TOTAL RECALL â Symposium â Panel 2".
Credit: tom mesic
Figure 1A from An Integrative Analysis of microRNA and mRNA Expression - A Case Study Published in Cancer Informatics