University of Ibadan (UIB)­Ibadan:
There has been significant increase in the number of bioinformatics activities in Nigeria (and West Africa) since 2003 when the program was initiated by the West African Biotechnology Workshops Series (WABWS, http://www.wabw.org) at the University of Ibadan, Nigeria (in collaboration with  the South African National Bioinformatics Institute (SANBI, http:/www.sanbi.ac.za). Workshops  that were open to scientists from all African countries have seen a very high number of applications  from scientists based in West Africa. The encouraging desire to acquire cutting­edge skills to  computational process data and extract useful knowledge from genome projects led to the interest of  the West African Biotechnology Workshops (WABW) to develop an agenda to address the  bioinformatics skills gap among scientists in West Africa. An increased commitment from agencies  like NEPAD would be required in the provision of infrastructure to establish and sustain regional  and national networks.

University of Ilorin (UIL)­Ilorin:
The University of Ilorin was established in 1976 by the Federal Government of Nigeria.  Bioinformatics activities started at the University in February 2003 with the establishment of the  West African Bioinformatics Research Initiative (WABRI). However, progress has been rather slow  due to inadequate funding. We are mainly engaged in Bioinformatics training at the introductory  level and proteomics studies on various species of malaria parasites. Recently, we became interested  in comparative genome analysis of various species of  Plasmodium  and the comparison of  chloroquine sensitive and chloroquine resistant strains of Plasmodium falciparum. Other activities  and areas of interest can be seen on our website, http://www.wabri.org, although not all our  proposed interests have been fully implemented due to our level of funding.

Training:
The University of Ilorin has introduced M.Sc. and Ph.D. programmes in Computer Science (with  options in Bioinformatics). The programme is based in the Department of Computer Science and  emphasis is on the development of algorithms to solve problems in bioinformatics. The Covenant University offers M.Sc. and Ph.D in Computer Science with option in Bioinformatics  (Computational Biology). Furthermore, through affiliated departments, the CBBM is been design to award Diploma and Degree certificates in Biotechnology.

Web sites and links: http://www.covenantuniversity.com http://www.run.edu.ng http://www.uniben.edu http://www.wabri.org http://www.wabw.org http://www.unilorin.edu.ng http://www.wabri.org http://www.asopah.org

More at https://ucdavis-bioinformatics-training.github.io/

Address of the bookmark: https://ucdavis-bioinformatics-training.github.io/2020-Genome_Assembly_Workshop/snakemake/snakemake_intro

Address of the bookmark: https://www.nature.com/articles/s41580-021-00407-0

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/

https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html

Address of the bookmark: https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html

Address of the bookmark: https://bioinfologics.github.io/post/2018/09/17/k-mer-counting-part-i-introduction/

Prerequisites

This is an intermediate lesson and assumes learners have already done some bioinformatics:

• Familiarity with the BASH command shell, including concepts like pipes, variables and loops.
• Knowledge of bioinformatics fundamentals like the FASTQ file format and transcriptome sequencing, in order to understand the example workflow.

No previous knowledge of Snakemake or workflow systems is required.

https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/index.html

Address of the bookmark: https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/aio/index.html

https://edu.t-bio.info/collaborative-model-bioinformatics-education-combining-biologically-inspired-bioinformatics-project-based-learning/

# plumber.R

#* Echo back the input
#* @param msg The message to echo
#* @get /echo
function(msg=""){
  list(msg = paste0("The message is: '", msg, "'"))
}

#* Plot a histogram
#* @png
#* @get /plot
function(){
  rand <- rnorm(100)
  hist(rand)
}

#* Return the sum of two numbers
#* @param a The first number to add
#* @param b The second number to add
#* @post /sum
function(a, b){
  as.numeric(a) + as.numeric(b)
}

Address of the bookmark: https://www.rplumber.io/