Theoretical and Computational Methods for Biology | https://lnkd.in/gpGrqufU yeah related to my research... i love the discussion of these things.
Shahariar Ryehan’s Post
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IB Biology empowers students to investigate and analyze biological phenomena through scientific inquiry. By conducting experiments and research, you'll hone your practical skills and deepen your understanding of key biological concepts. Let's embrace the spirit of inquiry and discovery together! #ScientificInquiry #BiologyExperiments #IBInvestigations
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Question from an alumna: I wanted to ask you if the international office could help distribute a questionnaire to PhD students in the faculty? We started a questionnaire to understand the needs of people working in a lab environment specially biology/medical to see how we can optimize the features of our products. Here is the link: https://lnkd.in/e6xCcz9m
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New Publication from the Systems Biology Research Group 🔹 The Systems Biology Research Group of the Faculty has developed a new modeling and experimental framework for the quantitative study of yeast colony growth. By combining experiments and mathematical modeling, they discovered how factors such as the initial distribution of microbes, the moisture of the medium, and nutrient diffusion regulate colony growth. 🔹 This new framework provides a more detailed insight into colony growth, which can enhance research on microbial community interactions and their adaptation to environmental changes. The team's novel approach can aid in the design and execution of more accurate and cost-effective high-throughput experiments. 🔹 Their results have been published in the prestigious international journal, Nature Communications Biology: ➡ https://lnkd.in/dguDEETR
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CENTRAL (Universität zu Köln / University of Cologne) harnessed the power of the CIPRES Gateway for their research, demonstrating the gateway's efficiency in computational biology. They provide publicly available cultures of these protists to facilitate further experimental investigations within the research community. #ComputationalBiology #ResearchCommunity #ProtistCulture #ExperimentalInvestigations #Bioinformatics #DataAnalysis #ResearchTools #ScientificComputing #ScienceResearch https://ow.ly/ugOl50QMKQX
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Materials Scientist and Rheologist in Rubbers, Thermoplastics, and Composites for Engineering Applications
The high importance to highlight and discuss about negative data along with positive data in scientific publications. Perhaps a special section dedicated to such negative results?
If you knew that people had researched a topic in biology and could not reach any conclusion because they had only negative results, would you make this topic your research topic? I guess not. But how would you know that it had already been tried and failed? Negative results are rarely published because they are not "interesting". But how about supporting the scientific community with these results? A negative result is also a result and usually comes from years of research. So why throw that work and knowledge away? The scientific community should support the publication of negative results more. Do you agree?
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This is EXACTLY what I was trying to convey in my previous post!
If you knew that people had researched a topic in biology and could not reach any conclusion because they had only negative results, would you make this topic your research topic? I guess not. But how would you know that it had already been tried and failed? Negative results are rarely published because they are not "interesting". But how about supporting the scientific community with these results? A negative result is also a result and usually comes from years of research. So why throw that work and knowledge away? The scientific community should support the publication of negative results more. Do you agree?
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Assistant Professor @ B S Abdur Rahman University of Science and Technology | PhD in Biotechnology
Most biology research papers published from private universities belongs to following categories : 1.Reviews or book chapters - predominant category 2. In silico work- most research belongs to this types 3. Collaborative work - usually said published with a friend. We can see diverse topics & diverse friends in this category 4.Real wet lab work - may be 10% of total papers
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Ph.D Chemistry Student (1st-Year) | Graduate Teaching Assistant, The University of Alabama, Tuscaloosa | Interest - Org. Chem., Nat. Pdt. Chem., Med. Chem., Comp. Chem., Synthesis & Chem. Bio.
Hey LinkedIn Fam!!! I've been invited to review another manuscript for the Annual Research & Review in Biology Journal! After my thorough review and contributions, I received another Certificate of Excellence in peer review. I'm grateful for the chance to contribute to scientific progress. 🌱🔬 #PeerReview #Research
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