<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/44601? https://bioinformaticsonline.com/bookmarks/view/40786/google-colab-google-colab-is-a-free-cloud-service-and-now-it-supports-free-gpu Fri, 31 Jan 2020 01:31:23 -0600 https://bioinformaticsonline.com/bookmarks/view/40786/google-colab-google-colab-is-a-free-cloud-service-and-now-it-supports-free-gpu <![CDATA[Google Colab : Google Colab is a free cloud service and now it supports free GPU!]]> You can: improve your Python programming language coding skills. develop deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV. 

If you have just a single notebook to submit, use the website https://google-colab.com/, it is really easy, on the top right corner click 'submit +'. The earlier you post the more visibility you will get over time

Address of the bookmark: http://colab.research.google.com

]]> Jit https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist Fri, 02 Mar 2018 06:54:15 -0600 https://bioinformaticsonline.com/pages/view/35805/python-learning-resources-for-bioinformatics-and-computational-biologist <![CDATA[Python learning resources for bioinformatics and computational biologist !]]> Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Many developers have also used Python to build productivity tools, games, and desktop apps, so there are plenty of resources to help you learn how to do those as well.

For pros and cons visit http://www.bestprogramminglanguagefor.me/why-learn-python and http://bioinformaticsonline.com/discussion/view/459/python-vs-perl

More resources at https://github.com/CodementorIO/Python-Learning-Resources

Following are the list of useful python programming resources:

]]> Jit https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material Sat, 18 Mar 2023 11:26:18 -0500 https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material <![CDATA[Bioinformatics Training Material !]]> Glittr is a curated list of bioinformatics training material.
All material is:

  • In a GitHub or GitLab repository
  • Free to use
  • Written in markdown or similar

NOTE: This list of courses is selected only based on the above criteria.
There are no checks on quality.

https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

Address of the bookmark: https://glittr.org/?per_page=25&sort_by=stargazers&sort_direction=desc

]]> BioStar https://bioinformaticsonline.com/bookmarks/view/44648/modern-statistics-with-r Thu, 22 Aug 2024 04:44:06 -0500 https://bioinformaticsonline.com/bookmarks/view/44648/modern-statistics-with-r <![CDATA[Modern Statistics with R]]> This is the online version of the second edition of Modern Statistics with R. It is free to use, and always will be. Printed copies are available from CRC Press.

Live online courses on statistics with R based on this book, led by the author, are offered regularly; see this page for more information and dates.

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you:

  • Data wrangling - importing, formatting, reshaping, merging, and filtering data in R.
  • Exploratory data analysis - using visualisations and multivariate techniques to explore datasets.
  • Statistical inference - modern methods for testing hypotheses and computing confidence intervals.
  • Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting.
  • Simulation - using simulation techniques for sample size computations and evaluations of statistical methods.
  • Ethics in statistics - ethical issues and good statistical practice.
  • R programming - writing code that is fast, readable, and (hopefully!) free from bugs.

The book includes plenty of examples and more than 200 exercises with worked solutions. The datasets used for the examples and the exercises can be downloaded here.

Address of the bookmark: https://www.modernstatisticswithr.com/

]]> LEGE https://bioinformaticsonline.com/bookmarks/view/28200/machine-learning Fri, 01 Jul 2016 12:57:12 -0500 https://bioinformaticsonline.com/bookmarks/view/28200/machine-learning <![CDATA[Machine Learning !!!]]> In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.

Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco.

Address of the bookmark: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

]]> Gudiya Pal https://bioinformaticsonline.com/bookmarks/view/17176/arvados Sat, 20 Sep 2014 16:54:21 -0500 https://bioinformaticsonline.com/bookmarks/view/17176/arvados <![CDATA[Arvados]]> Arvados is a free and open source bioinformatics platform for genomic and biomedical data. User can Store | Organize | Compute | Share the data for free. 

image

Address of the bookmark: https://arvados.org/

]]> Martin Jones https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics Wed, 20 Aug 2014 22:09:21 -0500 https://bioinformaticsonline.com/videolist/watch/14218/pimp-your-brain-bioinformatics <![CDATA[Pimp your brain: Bioinformatics]]> Jan Lisec from the Max Planck Institute of Molecular Plant Physiology explains, in this "pimp your brain" episode, what bioinformatics is and why bioinformatics is so important and indispensable for biological research. In the video serial "Pimp your brain" scientists from the Max Planck Institute of Molecular Plant Physiology describe their research. More videos from the 'Pimp your brain' serial are available on www.youtube.com/playlist?list=PL-l9VItC9Gn2Ur2Xj6PTOAkjLUlVPbIOO More videos are available on www.mpimp-golm.mpg.de]]> https://bioinformaticsonline.com/bookmarks/view/32076/ngs-teaching-material Wed, 05 Apr 2017 04:29:06 -0500 https://bioinformaticsonline.com/bookmarks/view/32076/ngs-teaching-material <![CDATA[NGS teaching material]]> High throughput sequencing (HTS) technologies are being applied to a wide range of important topics in biology. However, the analyses of non-model organisms, for which little previous sequence information is available, pose specific problems. This course addresses the specific strengths and weaknesses of alternative HTS technologies, the computational resources needed for HTS, and how to analyze non-model species using HTS. The course consists of a practical training module, HTS bioinformatics training, and lecturing/seminars of HTS approaches specifically targeting non-model organisms.

Address of the bookmark: http://marinetics.org/teaching/hts/Assembly.html

]]> Jit https://bioinformaticsonline.com/pages/view/36605/hello-python-world Mon, 14 May 2018 16:41:01 -0500 https://bioinformaticsonline.com/pages/view/36605/hello-python-world <![CDATA[Hello Python World !]]> As I mentioned earlier, I will keep on posting one Python script per day to introduce you to Python programming. Whether you are an experienced programmer or not, this tutorial is intended for everyone who wishes to learn the Python programming language.

Python is a very simple language, and has a very straightforward syntax. The simplest directive in Python is the "print" directive - it simply prints out a line (and also includes a newline).

Create a file Hello.py

print("Hello, Python World !.")

Run

python3 Hello.py

]]> Rahul Nayak https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco Sat, 06 Feb 2021 13:31:24 -0600 https://bioinformaticsonline.com/pages/view/42811/bioinformatics-in-africa-part-4-morocco <![CDATA[Bioinformatics in Africa: Part 4 - Morocco]]> Bioinformatics, in the UFR in Artificial Intelligence and Bioinformatics, deals with the management, the analysis, the modelling and the visualization of biological databases. Since the size of the databases is often exponential, the traditional algorithms are not very effective when seeking for a good computational solution.

To take care of this issue, many ways are opened to the researchers to improve the quality of the algorithms:

1. Usage of new information processing methods like artificial neuronal networks, genetic algorithms, etc. 2. Usage of Data mining  to explore biochemical databases,
3. Usage of Machine learning on the biological examples to solve, for example, the problem of classification in Bioinformatics.

UFR offers in addition a doctoral training in Computer Science and Bioinformatics.

Doctoral module which includes: a Diplôme des Etudes Supérieures Approfondies (DESA)  of two years; and a doctorate studies program with a national Ph.D. certification. Three specializations constitute the teaching trunk of the ENSAT: Computer engineering, Telecom  engineering, and electronic systems engineering.

Research Interest and Activities:

The following are the present areas of research interest:

1. Machine Learning and Profile Gene Expression of Cancer
2. Predicting Protein structure
3. Hidden Markov Models (HMMs) and multiple alignments
4. Transformational Grammar for sequence modelling
5. Physical Mapping: STSs
6. Evolutionary Computation applied to Genomic and Proteomic
7. Predicate Logic and Protein Structure

Web site and links:

http://www.ensat.ac.ma/udiab http://www.pasteur.fr/pasteur/international/annonce_coursBioinfoannonce06_casa.pdf

]]> BioStar