View allAll Photos Tagged Bioinformatics
Figure S2 (colour inverted) from In Silico Prediction for Regulation of Transcription Factors onTheir Shared Target Genes Indicates Relevant Clinical Implications in a Breast Cancer Population Published in Cancer Informatics
BecA-ILRI Hub Research Technician Moses Moses Njahira points out at an item of interest to Africa Biosciences Challenge Fund Fellows at a bioinformatics workshop.
Photo Credit: BecA-ILRI Hub/Tim Hall
Figure 3 from Connections Between ETV6-Modulated Genes - Identification of Shared Features Published in Cancer Informatics
Figure 3 from Functional Evolution of BRCT Domains from Binding DNA to Protein Published in Evolutionary Bioinformatics
Figure 5A from The Roles of β²-Tubulin Mutations and Isotype Expression in Acquired Drug Resistance Published in Cancer Informatics
Scientists used novel bioinformatics to investigate molecular-level changes over time and toxicity pathways in mahi-mahi embryos and larvae exposed to Deepwater Horizon oil. They observed that weathered oil (collected from slick skimming operations) induced more pronounced gene expression changes than a non-weathered source oil (collected from the subsea containment system directly over the wellhead). The tools predicted impairment of heart rates and increased pericardial edema which the researchers observed in the fish. The method also predicted disturbances in eye and nervous system development. These results suggest new genetic and developmental toxicity pathways targets associated with Deepwater Horizon oil.
Photo Caption: Mahi-mahi.
Photo provided by Dan DiNicola,
RECOVER Outreach Coordinator
Read More: gulfresearchinitiative.org/study-suggests-wider-range-mah...
Figure 2 from An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer Published in Cancer Informatics
Figure 3B from An Integrative Analysis of microRNA and mRNA Expression - A Case Study Published in Cancer Informatics
Participants in the Advanced Bioinformatics annual training workshop conducted by BecA-ILRI Hub in collaboration with the Swedish University of Agriculture Sciences (SLU) in Nairobi, Kenya October 7th - 18th, 2013
Photo credit: BecA-ILRI/Tim Hall
By Vasilis Promponas
Full title: GRANATUM: a social collaborative working space semantically interlinking biomedical researchers, knowledge and data for the design and execution of in-silico models and experiments in cancer chemoprevention
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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.
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.
BecA-ILRI Hub researcher Mark Wamalwa explains the BecA bioinformatics platform and the high-throughput virus detection and pathogen discovery project.
Photo Credit: BecA-ILRI/Tim Hall
Belgium - Brussels - 10 March 2014 - Innovation Convention 2014 - Hearing your genes evolve - Deirdre GRIBBIN , Composer - Sarah TEICHMANN , Research Group Leader at EMBL-European Bioinformatics Institute and Wellcome Trust Sanger Institute ©EC/CE
Belgium - Brussels - 10 March 2014 - Innovation Convention 2014 - Hearing your genes evolve - Deirdre GRIBBIN , Composer - Sarah TEICHMANN , Research Group Leader at EMBL-European Bioinformatics Institute and Wellcome Trust Sanger Institute ©EC/CE
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.
Belgium - Brussels - 10 March 2014 - Innovation Convention 2014 - Hearing your genes evolve - Deirdre GRIBBIN , Composer - Sarah TEICHMANN , Research Group Leader at EMBL-European Bioinformatics Institute and Wellcome Trust Sanger Institute ©EC/CE
Figure 1 from Structural and Functional Insights on the Myosin Superfamily Published in Bioinformatics and Biology Insights
Participants from 13 eastern and central African countries attend the BecA-ILRI Hub annual Advanced Bioinformatics workshop 18-29 August 2014, ILRI, Nairobi. (photo credit: BecA-ILRI Hub/Marvin Wasonga)
A team of eight scientists from the Addis Ababa University received a tailor-made training in molecular biology, genomics and bioinformatics at the Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub in Nairobi From 17-28 August 2015 (photo: BecA-ILRI Hub\Marvin Wasonga)
Figure S1A from A Novel Multi-Scale Modeling Approach to Infer Whole Genome Divergence Published in Evolutionary Bioinformatics
A GraphViz visualisation of a very simple workflow (just one "Web service") that can be executed with the Taverna workbench.
SRS links is a service can be used to map between different identifiers used to identify biological sequences (e.g. DNA, Protein) in different databases. This particular workflow maps from SWISSPROT ID:Q49SH1 to EMBL ID:AY581204 (and others). The databank parameter specifies the database to search, e.g. uniprot, the fieldname parameter specifies which fields to search e.g. AllText searches all fields and finally the xref_databank parameter specifies the target database to map to e.g. embl. As well as outputtting an EMBL_id the service produces a report on the operation. See e.g. www.ebi.ac.uk/~srs/, srs.ebi.ac.uk or Taverna for more details.
SWISS2EMBL is just one mapping the service can perform, there are many others, because (molecular) biology is drowning in databases...
workflow available from www.cs.man.ac.uk/~hulld/workflows/identifier_mapping_with...
Figure 1B from Electrostatic and Functional Analysis of the Seven-Bladed WD β-Propellers Published in Evolutionary Bioinformatics
Figure 2 from Classifying Variants of Undetermined Significance in BRCA2 with Protein Likelihood Ratios Published in Cancer Informatics