www.bioinformatics.babraham.ac.uk - Understanding Following table and graphs
Duplication level
kmer profile
per base GC content
per base N content
per base quality
per base sequence content
per sequence GC content
per sequence quality
sequence length distribution
More at...
github.com - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC...
ecogenomics.github.io - CheckM provides a set of tools for assessing the quality of genomes recovered from isolates, single cells, or metagenomes. It provides robust estimates of genome completeness and contamination by using collocated sets of genes that are ubiquitous...
github.com - iSeqQC, an expression-based QC tool that detects outliers either produced due to variable laboratory conditions or due to dissimilarity within a phenotypic group. iSeqQC implements various statistical approaches including unsupervised clustering,...
Which are the best statistical programming languages to study for a bioinformatician?
The Department of Biostatistics and Bioinformatics at Duke University Medical Center is seeking a Postdoctoral Associate for a one year appointment to work on several high-dimensional research projects. The specific goals of the project are to...
http://www.rstudio.com/ - RStudio IDE is a powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.
The developers and expert trainers are the authors of several popular R packages, including ggplot2, plyr,...
R is a functional based language, the inputs to a function, including options, are in brackets. Note that all dat and options are separated by a comma
Function(data, options)
Even quit is a function
q()
So is...