BOL

Research Interest: Bioinformatics High-throughput and high-dimensional data analysis Microbiome data analysis (Main focus) Next-generation and third-generation sequencing data analysis for genomics Gene expression data...

www.biostarhandbook.com - Nice book collection for bioinformatician ... highly recommended.

The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond...

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...

wego.genomics.org.cn - WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many...

github.com - pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot: bigwig bed (many options) bedgraph links (represented as arcs) Hi-C matrices (if HiCExplorer is...

cran.r-project.org - This package consists of a series of functions created by the author (Jacob) to automate otherwise tedious research tasks. At this juncture, the unifying theme is the more efficient presentation of regression analyses. There are a number of...

pangenome.github.io - Standard approaches to genome inference and analysis relate sequences to a single linear reference genome. This is efficient but has a fundamental problem: Differences from this reference are hard to observe and describe in a coherent way. Variation...