Rosalind. Rosalind is a platform for learning bioinformatics and programming through problem solving.
Take a tour to get the hang of how Rosalind works. If you don't know anything about programming, you can start at the Python Village. Discrete-time Markov Chains. Much of how we interact with life could be described as transitions between states.
These states could be weather conditions (whether we are in a state of “sunny” or “rainy”), the places we may visit (maybe “school”, “the mall”, “the park” and “home”), our moods (“happy”, “angry”, “sad”). There are a number of other ways to model states and even the possibility of infinitely many states. Markov Chains are based on the principle that the future is only dependent on the immediate past. so for example, if I wished to predict tomorrow’s weather using a Markov Chain, I would need to only look at the weather for today, and can ignore all previous data. Fourier series. Open-source, distributed deep learning for the JVM. Content: This post introduces eigenvectors and their relationship to matrices in plain language and without a great deal of math.
It builds on those ideas to explain covariance, principal component analysis, and information entropy. The eigen in eigenvector comes from German, and it means something like “very own.” Éduthèque - Partenaire Sciences et techniques Présentation de l’offre CNRS – Éduthèque Le Centre national de la recherche scientifique propose aux enseignants une sélection de près de 800 ressources issues des travaux de recherche des équipes CNRS, téléchargeables gratuitement et regroupant photos, vidéos, animations, documents.
Nouvelles simulations - Simulations PhET. Markov Chain Monte Carlo Without all the Bullshit. I have a little secret: I don’t like the terminology, notation, and style of writing in statistics.
I find it unnecessarily complicated. This shows up when trying to read about Markov Chain Monte Carlo methods. Take, for example, the abstract to the Markov Chain Monte Carlo article in the Encyclopedia of Biostatistics. Markov chain Monte Carlo (MCMC) is a technique for estimating by simulation the expectation of a statistic in a complex model. Successive random selections form a Markov chain, the stationary distribution of which is the target distribution. Pixees: Accueil. Eigenvectors and eigenvalues explained visually.
Explained Visually By Victor Powell and Lewis Lehe Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm.
Aquent Gymnasium. Guide des 181 MOOC francophones - Cours en ligne en français. Home - Scientix. Janet Iwasa. HIV entry and egress Chromatin remodeling Visualizing neurons Molecular flipbook Cell image library PAST PROJECTS (Harvard Medical School)
PBIL database. Editions ENI. Persée : Portail de revues en sciences humaines et sociales. France Université Numérique - FUN. KhanAcademy. Courses MIT. Opening up education through innovation. Physion - Physics Simulation Software. Physique et simulation.
Understanding Evolution. The bacteria that changed the world - May, 2017 The make-up of Earth's atmosphere, once the domain of Earth science textbooks, has become an increasingly "hot" news topic in recent decades, as we struggle to curb global warming by limiting the carbon dioxide that human activity produces.
While the changes that humanity has wrought on the planet are dramatic, this isn’t the first time that one species has changed Earth’s atmosphere. GNIS-Pédagogie. L'homme commence à améliorer les plantes lorsqu'il se sédentarise, il y a 10 000 ans.
C'est le début de l'agriculture : il cultive les plantes pour son alimentation et pratique alors une sélection en choisissant, de manière empirique, de ressemer les plus beaux grains des plantes les plus intéressantes. A la fin du 19e siècle, l'homme réalise les premiers croisements de parents choisis. Teaching evolution. MNHN : Enseignement supérieur. Population Biology Simulations. Darwin Webcomics. Webcomics.fr: publiez vos BD en ligne.
Evolution: Videos. Teach Evolution. Web resources. iBiology. Materials Search. Return to MERLOT II Home Page Search all MERLOT Click here to go to your profile Click to expand login or register menu Select to go to your workspace Click here to go to your Dashboard Report. Online Video Streaming Archive. For selected articles and letters Nature presents streaming videos featuring interviews with scientists behind the research and analysis from Nature editors. To view the videos you will need the free Flash browser plugin. You can also visit the Nature Video YouTube channel which enables you to easily embed and share our videos through websites, mobile devices, blogs and email.
Resources for Teaching Biology. The Sourcebook for Teaching Science This book provides science educators with a comprehensive selection of innovative tools, activities, and high-quality instructional resources for enlivening lessons across the science disciplines. It features over 300 classroom-ready activities ranging from word-based problem-solving exercises to hands-on laboratory experiments and includes examples drawn from biology, physics, chemistry, and the geosciences, all linked to National Science Education Standards.
National Association Biology Teacher. Regional Student Groups. In 2006, the Student Council conceptualized 'Regional Student Groups (RSGs)' with the aim to promote interaction among students pursuing research in the field of Bioinformatics and Computational Biology. Over the past few years, SC has successfully established 9 RSGs globally and the number is on a steady rise.