Phusion2 is a pipeline for de novo genome assembly using NGS data. It is based upon a strategy called read clustering. Starting with kmer frequency analysis, this allows for a reasonable selection of the kmer sizes. K-tuples from raw reads are merged and sorted into a table so that multiple occurring kmer words shared by different reads can be linked.  A relation matrix is used to record the shared kmer words among all the reads. Setting a minimum threshold of shared k-tuples, the whole set of reads can then be clustered into groups using kmer sharing information in the relational matrix. After obtaining small read clusters with a controllable size, a local assembler can be used to produce contigs.

Project Activity

See All Activity >

Follow Phusion2

Phusion2 Web Site

Other Useful Business Software
99.99% Uptime for MySQL and PostgreSQL Databases Icon
99.99% Uptime for MySQL and PostgreSQL Databases

Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Phusion2!

Additional Project Details

Registered

2014-08-21