BOL

www.broadinstitute.org - As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such...

www.bioconductor.org - Development of cancer is driven by somatic alterations, including numerical and structural chromosomal aberrations. Currently, several computational methods are available and are widely applied to detect numerical copy number aberrations (CNAs) of...

Structural variants (SVs) such as deletions, insertions, duplications, inversions and translocations litter genomes and are often associated with gene expression changes and severe phenotypes (ie. genetic diseases in humans).

github.com - Simple ideogram plotting and annotation in R. Basic usage: Rscript Ideoplot.R --heatmap hm.bed --annotate annotations.bed --out ideogram.pdf -or- Rscript Ideoplot.R --annotate annotations.bed Options --ideobed, i A bed file of reference...

We are two groups of scientists doing frontier research in quantitative biology and biomedicine. The Bienko group is interested in exploring the fundamental design principles controlling how DNA is packed in the eukaryotic nucleus and its relation...

www.mgc.ac.cn - GenomeComp is a tool for summarizing, parsing and visualizing the genome wide sequence comparison results derived from voluminous BLAST textual output, so as to locate the rearrangements, insertions or deletions of genome segments between species or...

github.com - InfoGenomeR is the Integrative Framework for Genome Reconstruction that uses a breakpoint graph to model the connectivity among genomic segments at the genome-wide scale. InfoGenomeR integrates cancer purity and ploidy, total CNAs, allele-specific...

http://wilkox.org/gggenes - Install the stable version of gggenes from CRAN: install.packages("gggenes") If you want the development version, install it from GitHub: devtools::install_github("wilkox/gggenes") More at https://github.com/wilkox/gggenes

lindenb.github.io - Collection of Java tool kits for bioinformatics works: Jvarkit : Java utilities for Bioinformatics

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.