BOL

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

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...

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....

www.cs.utoronto.ca - With the relative ease and low cost of current generation sequencing technologies has led to a dramatic increase in the number of sequenced genomes for species across the tree of life. This increasing volume of data requires tools that can quickly...

To decide which strategy should be our “preferred” genome assembly approach based on data rather than my gut-feeling about the “best assembly” I decided to do some testing with a known “true” reference E Coli K12 MG1655

github.com - The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by Oxford Nanopore flow cells. Computational methods used by the Shasta assembler include: Using...

List of bioinformatics tools/Software Website References for genome assembly:

Commercial tools Strand NGS offers many different tools including alignment, RNA-Seq, DNA-Seq, ChIP-Seq, Small RNA-Seq, Genome Browser, visualizations, Biological Interpretation, etc. Supports workflows “one can import the sample data in...

Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and...

github.com - Genome U-Plot for producing clear and intuitive graphs that allows researchers to generate novel insights and hypotheses by visualizing SVs such as deletions, amplifications, and chromoanagenesis events. The main features of the Genome U-Plot are...