BOL

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...

wiki.fysik.dtu.dk - SLURM workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing. This page is a HOWTO guide for setting up a SLURM installation, currently focused on a CentOS 7...

evomics.org - The objective of this activity is to help you understand how to run Velvet in general, how to accurately estimate the insert size of a paired-end library through the use of Bowtie, the primary parameters of velvet, and the process...

wiki.bits.vib.be - NGS data are just a bunch of sequences, you have no idea which region in the genome each sequences comes from, which gene it represents...To know that you have to align the sequences to the reference sequence. The reference sequence is in most cases...

github.com - Dashboard Design Tutorial

A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since Measures the average expression level for each gene across a large population of input cells Useful for comparative transcriptomics,...

AWK is a standard tool on every POSIX-compliant UNIX system.

training.galaxyproject.org - The main challenge associated with non-diploid variant calling is the difficulty in distinguishing between the sequencing noise (abundant in all NGS platforms) and true low frequency variants. Some of the early attempts to do this well have been...

In Bio-informatics based genome sequencing and predicting metabolic pathways research jobs I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for...

Statistical functional genomics in experimental medicine The genome projects and the accelerated development of high-throughput genomic technologies such as microarrays have revolutionised biology. Making the most of this revolution requires the...