BOL

sourceforge.net - PBJelly - the genome upgrading tool. PBHoney - the structural variation discovery tool Both are contained within the PBSuite code found in downloads.----- PBJelly -----Read The...

github.com - This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in: Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomesMads...

ritchielab.psu.edu - With PhenoGram researchers can create chomosomal ideograms annotated with lines in color at specific base-pair locations, or colored base-pair to base-pair regions, with or without other annotation. PhenoGram allows for annotation of chromosomal...

github.com - SequenceServer lets you rapidly set up a BLAST+ server with an intuitive user interface for use locally or over the web. More at http://sequenceserver.com.

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...

A new “Download assemblies” button is now available in the Assembly database. This makes it easy to download data for multiple genomes without having to write scripts.

www.sequenceontology.org - We have developed the Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome. We envisage its use during annotation jamborees, genome comparison and for use by developers...

One of the technical advantages of ONT data is the read length, which offers great prospects for genome assembly.

The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods...

github.com - SHAMAN is a shiny application for differential analysis of metagenomic data (16S, 18S, 23S, 28S, ITS and WGS) including bioinformatics treatment of raw reads for targeted metagenomics, statistical analysis and results visualization with a large...