BOL

Geospatial data is becoming increasingly important in many fields, including urban planning, environmental science, public health, and more. These tools can help you work with data from a variety of sources, including satellite imagery, GPS data,...

A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen...

http://www.vital-it.ch/ - Vital-IT is a bioinformatics competence center that supports and collaborates with life scientists in Switzerland and beyond. The multi-disciplinary team provides expertise, training and maintains a high-performance computing (HPC) and storage...

Xpandomer in a single drop reaction to sequence an entire human genome 1000X over.

github.com - Tools to create plots showing N-statistics for genome assemblies More at https://github.com/dentearl/n50PlottingTools

github.com - MetaPred2CS Web server is a meta-predictor based on Support Vector Machine (SVM) that combines 6 individual sequence based protein-protein interaction prediction methods to predict prokaryotic two-component...

github.com - In a nutshell Anvi’o is an analysis and visualization platform for ‘omics data. Please find the methods paper here: https://peerj.com/articles/1319/ Anvi’o would not have been possible without the help of many people who...

compbio.cs.toronto.edu - Scarpa is a stand-alone scaffolding tool for NGS data. It can be used together with virtually any genome assembler and any NGS read mapper that supports SAM format. Other features include support for multiple libraries and an option to estimate...

bioinfo.lifl.fr - YASS is a genomic similarity search tool, for nucleic (DNA/RNA) sequences in fasta or plain text format (it produces local pairwise alignments). Like most of the heuristic pairwise local alignment tools for DNA sequences (FASTA, BLAST,...

R Graphical Cookbook by Winston Chang A very nice book by Winston Chang for R ethusiast. The R code presented in these pages is the R code actually used to produce the Figures in the book. There will be differences compared to the code chunks shown...