http://www.au.dk/en/about/vacant-positions/scientific-positions/stillinger/Vacancy/show/743161/5283/
Qualifications:
MSc degree in computer science, engineering, genetics or similar field with a strong emphasis on computational...
Which are the best statistical programming languages to study for a bioinformatician?
It is often necessary to import sample textbook data into R before you start working on your homework.
Excel File
Quite frequently, the sample data is in Excel format, and needs to be imported into R prior to use. For this, we can...
github.com - Other tools focus on getting data out of the fastq or fast5 files, which is slow and computationally intensive. The benefit of this approach is that it works on a single, small, .txt summary file. So it's a lot quicker than most other things out...
www2.decipher.codes - DECIPHER is a software toolset that can be used for deciphering and managing biological sequences efficiently using the R programming language. The R package is distributed as platform independent source code under the GPL...
github.com - UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data,...