BOL

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...

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...

github.com - Ventoy is an open source tool to create bootable USB drive for ISO/WIM/IMG/VHD(x)/EFI files. With ventoy, you don't need to format the disk over and over, you just need to copy the image files to the USB drive and boot it. You can copy many image...

github.com - bacLIFE is a streamlined computational workflow that annotates bacterial genomes and performs large-scale comparative genomics to predict bacterial lifestyles and to pinpoint candidate genes, denominated lifestyle-associated genes (LAGs), and...

Copyright Broad Institute, 2013. All rights reserved. Des Higgins (http://www.bioinf.ucd.ie) gives a very entertaining introduction to the visualization of multiple sequence alignment, and to his widely-used Clustal tool. He highlights the emerging...

User-friendly tools for the normalization and visualization of deep-sequencing data

bioinformatics.ua.pt - Smash is a completely alignment-free method/tool to find and visualise genomic rearrangements. The detection is based on conditional exclusive compression, namely using a FCM (Markov model), of high context order (typically 20). For...

github.com - In a nutshell Anvi’o is an analysis and visualization platform for ‘omics data. Please find the methods paper here: https://peerj.com/articles/1319/ Anvi’o would not have been possible without the help of many people who...

drive5.com - USEARCH >Extreme high-throughput sequence analysis. Orders of magnitude faster than BLAST. MUSCLE >Multiple sequence alignment. Faster and more accurate than CLUSTALW.  UPARSE >OTU clustering for 16S and other marker genes....

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...