BOL

glittr.org - 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...

Downloading 16S rRNA databases can be crucial for various bioinformatics analyses, especially in microbiome research.

This is a presentation about some fundamental concepts applied in molecular biology and genetics, also it contains a little bit of the experience that one of our members has gained in his years of undergraduate state related to molecular cloning....

Queensland Centre for Medical Genomics Research Area: pancreatic cancer; ovarian cancer; prostate cancer; bowel cancer; brain cancer; endometrial cancer; breast cancer; personalised medicine; high-throughput genomics Link @...

The symposium intents to focus on complex systems arising in a variety of settings in physics and biology. In particular, applications of the concepts of physics to biological sciences will be the major theme of this meeting. Selected Topics:...

The Rolland-Lagan lab at the University of Ottawa is specializing in computational and developmental biology. We use a combination of experimental work, microscopy, image analysis and computer simulations to explore developmental mechanisms in two...

The genetic code consists of 64 triplets of nucleotides. These triplets are called codons.With three exceptions, each codon encodes for one of the 20 amino acids used in the synthesis of proteins. That produces some redundancy in the code: most of...

Only two genes in Y-chromosome are important rest useless.

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...