π’ 5th International Symposium on Bioinformatics (InSyB) 2021
π Date: December 15-17, 2021
πLocation: Virtually in Turkey with Bezmialem VakΔ±f University
βοΈRegistration and submissions are FREE!
π£ Abstract submission deadline: 15.11.2021
πWebsite: https://insyb2021.bezmialem.edu.tr/
π²Channel: @Bioinformatics
π Date: December 15-17, 2021
πLocation: Virtually in Turkey with Bezmialem VakΔ±f University
βοΈRegistration and submissions are FREE!
π£ Abstract submission deadline: 15.11.2021
πWebsite: https://insyb2021.bezmialem.edu.tr/
π²Channel: @Bioinformatics
π« 5 tips for getting into computational biology
π Study the article
π²Channel: @Bioinformatics
π Study the article
π²Channel: @Bioinformatics
ARCHIVE
5 tips for getting into computational biology
By Fatima Vayani, Kingβs College London I discovered computational biology (or bioinformatics, as it is also known) by chance during an internship when I was 17. I have always been a curious personβ¦
π§ͺMachine Learning in Enzyme Engineering
Abstract: Enzyme engineering plays a central role in developing efficient biocatalysts for biotechnology, biomedicine, and life sciences. Apart from classical rational design and directed evolution approaches, machine learning methods have been increasingly applied to find patterns in data that help predict protein structures, improve enzyme stability, solubility, and function, predict substrate specificity, and guide rational protein design. In this Perspective, we analyze the state of the art in databases and methods used for training and validating predictors in enzyme engineering. We discuss current limitations and challenges which the community is facing and recent advancements in experimental and theoretical methods that have the potential to address those challenges. We also present our view on possible future directions for developing the applications to the design of efficient biocatalysts.
π Study the paper
π²Channel: @Bioinformatics
Abstract: Enzyme engineering plays a central role in developing efficient biocatalysts for biotechnology, biomedicine, and life sciences. Apart from classical rational design and directed evolution approaches, machine learning methods have been increasingly applied to find patterns in data that help predict protein structures, improve enzyme stability, solubility, and function, predict substrate specificity, and guide rational protein design. In this Perspective, we analyze the state of the art in databases and methods used for training and validating predictors in enzyme engineering. We discuss current limitations and challenges which the community is facing and recent advancements in experimental and theoretical methods that have the potential to address those challenges. We also present our view on possible future directions for developing the applications to the design of efficient biocatalysts.
π Study the paper
π²Channel: @Bioinformatics
π1
π§°Resources to become a computational biologist outside of academia
π Study
π²Channel: @Bioinformatics
π Study
π²Channel: @Bioinformatics
π° A good list of papers about machine learning for proteins
π Study
π²Channel: @Bioinformatics
π Study
π²Channel: @Bioinformatics
GitHub
GitHub - yangkky/Machine-learning-for-proteins: Listing of papers about machine learning for proteins.
Listing of papers about machine learning for proteins. - GitHub - yangkky/Machine-learning-for-proteins: Listing of papers about machine learning for proteins.
π Guide to go from Computer Science background to Bioinformatics
π₯ Watch
π²Channel: @Bioinformatics
π₯ Watch
π²Channel: @Bioinformatics
YouTube
Going from CS to bioinformatics
Answering some common questions I get from computer science/software people about going into bioinformatics:
* "I'm a computer science major. Is it possible for me to get into bioinformatics since I don't really have a biology background?"
* "I'm really interestedβ¦
* "I'm a computer science major. Is it possible for me to get into bioinformatics since I don't really have a biology background?"
* "I'm really interestedβ¦
π¨βπ«Introduction to Biomedical Data Science and Health Informatics
π₯Yale University Full archive July 2020
Join us for an introduction to basic biomedical data science knowledge and health informatics skills. This course is targeted for beginners in informatics. No previous experience is required.
π Go to online course
π²Channel: @Bioinformatics
π₯Yale University Full archive July 2020
Join us for an introduction to basic biomedical data science knowledge and health informatics skills. This course is targeted for beginners in informatics. No previous experience is required.
π Go to online course
π²Channel: @Bioinformatics
πΉ Introduction to Metagenomics
β«οΈWhat is Metagenomics?
β«οΈWhat kind of questions can Metagenomics be used to answer?
β«οΈIs Metagenomics right for me?
β«οΈ...
π Watch
π²Channel: @Bioinformatics
β«οΈWhat is Metagenomics?
β«οΈWhat kind of questions can Metagenomics be used to answer?
β«οΈIs Metagenomics right for me?
β«οΈ...
π Watch
π²Channel: @Bioinformatics
π Illuminaβs Ebook
High impact discovery through gene expression and regulation research
π₯Learn more about methods to link genotype to phenotype
β¬οΈ Download the ebook
π²Channel: @Bioinformatics
High impact discovery through gene expression and regulation research
π₯Learn more about methods to link genotype to phenotype
β¬οΈ Download the ebook
π²Channel: @Bioinformatics
πRecommended sources for self learning Bioinformatics
π Study the article
π²Channel: @Bioinformatics
π Study the article
π²Channel: @Bioinformatics
πͺπΈRegion specific post
π£ BIOINFO CLUB NOVIEMBRE 2021 π£
Factores genΓ©ticos implicados en el agravamiento de la sepsis
π 16 de Noviembre
π De 19h a 20:00h, CET
π Imparte:
π Tamara HernΓ‘ndez, PhD student (Universidad de La Laguna)
βΉοΈ Registro + informaciΓ³n:
buff.ly/3H0hciM
π²Channel: @Bioinformatics
π£ BIOINFO CLUB NOVIEMBRE 2021 π£
Factores genΓ©ticos implicados en el agravamiento de la sepsis
π 16 de Noviembre
π De 19h a 20:00h, CET
π Imparte:
π Tamara HernΓ‘ndez, PhD student (Universidad de La Laguna)
βΉοΈ Registro + informaciΓ³n:
buff.ly/3H0hciM
π²Channel: @Bioinformatics
π·ββοΈCareer Outlook and Job Prospects of Bioinformatics
π Read the article
π²Channel: @Bioinformatics
π Read the article
π²Channel: @Bioinformatics
Northeastern University Graduate Programs
What Can You Do With a Bioinformatics Degree?
Learn what you can do with a bioinformatics degree, average salary for bioinformatics jobs, and the career options available.
π§βπ42 thesis titles with descriptions for MSc students of bioinformatics
π₯from Wageningen University & Research
π See details
π²Channel: @Bioinformatics
π₯from Wageningen University & Research
π See details
π²Channel: @Bioinformatics