BOL

github.com - The algorithm presented herein, Mining Algorithm for GenetIc Controllers (MAGIC), uses ENCODE ChIP-seq data to look for statistical enrichment of TFs and cofactors in gene bodies and flanking regions in gene lists without...

R package for visualising GO enrichment results as wordclouds is available at CRAN

www.bioconductor.org - statistical analysis and visulization of functional profiles for genes and gene clustersBioconductor version: Release (3.3)This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.Author:...

Pathway Analysis is usually performed with aim to enrich the genes with their functional information and reveal the underlying biological mechanisms pursue by genes. Pathway Analysis is not only limited to what biological pathways a particular set...

www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it. The tutorial is divided in three main parts: In the Sequence part, you will see how to look efficiently for a...

www.bioinf.jku.at - The kebabs package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods. Biological sequences include DNA, RNA, and amino acid (AA) sequences. Sequence kernels define...

github.com - pyScaf orders contigs from genome assemblies utilising several types of information: paired-end (PE) and/or mate-pair libraries (NGS-based mode) long reads (NGS-based mode) synteny to the genome of some related species (reference-based...

tools.bat.infspire.org - Circoletto, an online visualization tool based on Circos, which provides a fast, aesthetically pleasing and informative overview of sequence similarity search results. Online version and downloadable software package for offline use (source code in...

ivory.idyll.org - DNA k-mers underlie much of our assembly work, and we (along with many others!) have spent a lot of time thinking about how to store k-mer graphs efficiently, discard redundant data, and count them efficiently. More recently, we've...

Dr. Rob Edwards describes some of the problems, challenges, and approches in genome annotation, with a particular emphasis on how the Fellowship for the Interpretation of Genomes (FIG) developed subsystems using the SEED database available at...