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Showing posts with the label R

Bioinformatics Short Time Courses

Here are some bioinformatics courses, These are geared towards: - Scientists, so they can think like a programmer and solve bottlenecks in data-based Biology - Computer programmers, so they know how to solve bioinformatics problems for scientists - Bioinformaticians, so they can advance their skills in newer application areas Some of these courses include scripting and database management with Linux, Perl, R, Matlab and MySql, while others include learning to use software for analyzing data from Microarray, NGS, Metabolomics and Proteomics platforms. A course on High Performance Computing and Primer Design is also offered. A detailed roster of scheduled courses is available at: http://www.bioinformatics.org/edu/calendar/view.php?view=upcoming Additionally, through Bioinformatics.org, an instructor-led program in practical bioinformatics is being offered. The goal here is to provide attendees a broad overview of the bioinformatics landscape, while giving them hands-on experienc...

BioPuppy Linux

It is more user friendly and easy to use for those new to Linux. Contains all the necessary Bioinformatics tools. BioPuppy contains extensive help files for ALL its programs and Bioinformatcis tools with screen shot.   Sequence Analysis tools such as: Genewise, Muscle, Sigma etc are already embedded.   Structure Prediction tools such as: Phylogibbs, Mfold, FastLink are present.   Protein Structure Analysis Tools like Rasmol and Phylogenetic Analysis Tools such as FastDNA and Philip are already embedded. Most Importantly Molecular Dynamics tools such as GROMACS, Statistical Analysis Tools such as R and BioConductor are pre-loaded. It also contains BLAST, EMBOSS, Biofox and other online tools also. Install BioPuppy and experience all these features.   Welcome to  BioPuppy  Linux  

Post-doc@Harvard Medical School

Organization:  Harvard Medical School Job Location:  Harvard Medical School, Boston, Massachusetts, USA Salary:  $50,000/year Benefits:  Family health insurance, T-Pass discount, credit union, child-care scholarships Job Description:  Post-doctoral position.Available immediately. Permanent residency not required. Working at the interface of biology, statistics, and computing, the candidate will analyze high through-put gene expression microarray data in cancer genomics. The goal is to develop novel data analysis algorithms and software and to identify genomic signatures in cancer patients and tumor-bearing mice. Requirements:  Qualifications: (i) PhD in bioinformatics, biostatistics, computer science or related fields; (ii)familiarity with molecular biology and genomics; (iii)strong programming skills (R, C++, Python): and (iv) proficiency in microarray software Bioconductor, dChip, and GenePattern. Contact Information:  Please send CV, a caree...