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 metagenomes
Mads...
academic.oup.com - GMcloser uses likelihood-based classifiers calculated from the alignment statistics between scaffolds, contigs and paired-end reads to correctly assign contigs or long reads to gap regions of scaffolds, thereby achieving accurate and efficient gap...
ufmg-simba.sourceforge.net - SIMBA, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS)...
www.melbournebioinformatics.org.au - Written and maintained by Simon Gladman - Melbourne Bioinformatics (formerly VLSCI)
Protocol Overview / Introduction
In this protocol we discuss and outline the process of de novo assembly for small to medium sized...
ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...
github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly. Depending on your genome size you may want to convert the .wig files to the BigWig format.
metagraph.ethz.ch - The MetaGraph framework is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle,...
4dgenome.research.chop.edu - Records in 4DGenome are compiled through comprehensive literature curation of experimentally-derived and computationally-predicted interactions. The current release contains 4,433,071 experimentally-derived and 3,605,176 computationally-predicted...
Like in case of plant genomes where nature of genome is too complex and huge in size to accomplish complete de novo assembly by current sequencing technology. What would be alternate solution? Can we live in reference free world?