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The BecA-ILRI Hub in collaboration with the Swedish University of Agricultural Sciences (SLU) held a training workshop on Advanced Genomics and Bioinformatics from 7–18 September 2015 in Nairobi, Kenya. The workshop provides a learning forum for researchers in bioinformatics, computational biology as well as scientists utilizing computational methods in their research (photo: BecA-ILRI Hub\Marvin Wasonga)
Sketchnotes from a talk (and, to some extent, sales pitch) about DistilBio - a free online tool, developed by Metaome, for creating complex queries that access multiple biological data sources.
Ram also demonstrated a browser plugin (Firefox / Chrome) that highlights key terms on a page (e.g. in a publication abstract) and then allows you to export that set of terms to DistilBio, as seeds for a wider search.
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"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 today’s 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.
Figure S3.7 from Major Functional Transcriptome of an Inferred Center Regulator of an ER(-) Breast Cancer Model System Published in Cancer Informatics
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 today’s 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.
Collaboration equals Alignment in Open Targets
by former Operations Director of Open Targets, Jessica Vamathevan
To find out about Open Targets go to:
It has been a busy term for the 49Women in Science Committee, which was formed five years ago after identifying the need for supports and guidance for young women pursuing a career in STEM. Our fall 2022 student event was held on-campus on October 13. Students had the privilege of listening to guest speaker Dr. Fiona Brinkman, SFU professor in Bioinformatics and head of the Brinkman Lab. She shared her educational and career journey, inspiring those in attendance with what is possible.
On February 8, 2012 EMC announced plans to open a new R&D center in Russia's Skolkovo Innovation Hub, which will focus on cloud and Big Data analytics solutions for bioinformatics and energy efficiency.
EMC and Skolkovo officials at the MOU signing ceremony today in Moscow.
(From Left to Right)
Igor Goryanin, Executive Director of the Bio Medicine Cluster of Skolkovo Innovation Center
Roman Romanovsky, Managing Director of Skolkovo Foundation
Victor Vekselberg, President of Skolkovo Foundation
Joel Schwartz, Senior Vice President, EMC Corporation
Vyacheslav Nesterov, General Manager of the EMC Center of Excellence in Saint Petersburg
www.sk.ru/en Boston, USA 18JUN2012
Representatives from the Skolkovo Foundation participated in the 2012 BIO International Convention at the Boston Convention and Exhibition Center June 18-21. The conference, attended by pharmaceutical companies, teaching hospitals, venture capital firms and over 500 biotechnology companies, drew more than 15,000 attendees to the Boston area.
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: ‘It seems as if everything has become a branch of computer science, even our own bodies probed, imaged, modelled and mapped: re-drawn as digital information’.
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 today’s 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
Phylogenetic tree of HA gene (A) and NA gene (B) of A/H7N9/2013_China and its Origin.The phylogenetic tree was generated by means of the JC69 distance-based method and using MatLab Bioinformatics Toolbox. (A) The A/H7N9/2013_China influenza viruses are in red and are clustered at the bottom of the tree. The yellow virus strain at the top of the tree is the original source of the HA gene of A/H7N9/2013_China – a 2010 H7N1 virus from Baer’s Pochard of Hu Nan. Some H7N1 viruses also shared high HA similarity with A/H7N9/2013_China from ducks of Zhe Jiang in 2011. A pigeon H7N9 virus from Shanghai also shared high similarity with A/H7N9/2013_China and is clustered with them near the bottom part of the tree. (B): The A/duck/Nanchang/2000/H2N9 and A/duck/Hunan/2007/H6N9 are in yellow and clustered at top of the tree. The A/H7N9/2013_China influenza viruses are in red and clustered at the middle part of the tree. Four South Korea avian H7N9 viruses from 2011 are in green and clustered at the bottom. The distance analysis indicated that the NA gene of viruses from Nanchang and Hu Nan are closer to A/H7N9/2013_China than to the viruses from South Korea.
Photo showing Nick Goldman (UK), who works at the European Bioinformatics Institute in Hinxton (UK)) during his speech at the "TOTAL RECALL – Symposium – 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 gene’s 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