BOL

gehlenborglab.shinyapps.io - UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such...

The IBL laboratory focuses on the multi-disciplinary analyses of the global responses of model microorganisms, cyanobacteria (mainly Synechocystis PCC6803) and yeasts (mainly Saccharomyces cerevisae) to environmental stresses triggered by oxidative...

github.com - DBG2OLC:Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies Our work is published in Scientific Reports: Ye, C. et al. DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous...

This Bioinformatics Resource (Virology.ca, the Canadian half of the now defunct VBRC) focuses on large DNA viruses: Poxviruses African Swine Fever Viruses Iridoviruses Baculoviruses Research Area Custom searches of the viral...

amp.pharm.mssm.edu - Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse...

They are based in the Department of Genetics at the University of Cambridge. The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly...

www.baseclear.com - SSPACE standard is a stand-alone program for scaffolding pre-assembled contigs using NGS paired-read data. It is unique in offering the possibility to manually control the scaffolding process. By using the distance information of paired-end and/or...

samtools.sourceforge.net - In current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.

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Basics of computational proteomics