Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...
Key Responsibilities
- Process and analyse metabolomic, transcriptional, genomics, proteomics
and any other kind of biological data.
- Interpret the data in the context of relevant biological literature to generate
actionable insights.
-...
github.com - GRAbB is shown to be more efficient than MITObim in terms of speed, memory and disk usage. The other functionalities (handling multiple targets simultaneously and extracting homologous regions) of the new program are not matched by other programs....
www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types
Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...
www.cellbiol.com - This web development course, targeted at Biology and Bioinformatics students, aims at teaching from scratch all the skills needed to setup a fully working Linux web server and to develop and deploy web applications for Bioinformatics.
No previous...
Study the process of Adaptive Evolution, during which species adopt novel traits to overcome challenges. We retrace the evolutionary histories of genomic elements to determine the changes underlying adaptation and to discover previously unknown...
You will have some previous experience with genome bioinformatics or other large scale scientific data analysis, or a newly qualified graduate student with data science skills interested in DNA sequence data. While desirable, previous experience...