BOL

faculty.cse.tamu.edu - With increased availability of de novo assembly algorithms, it is feasible to study entire transcriptomes of non-model organisms. While algorithms are available that are specifically designed for performing transcriptome assembly from...

support.10xgenomics.com - Supernova generates phased, whole-genome de novo assemblies from a Chromium-prepared library. Please see Achieving Success with De Novo Assembly and System Requirements before creating your Chromium libraries for...

Integrated solutions CLCbio Genomics Workbench - de novo and reference assembly of Sanger, Roche FLX, Illumina, Helicos, and SOLiD data. Commercial next-gen-seq software that extends the CLCbio Main Workbench software. Includes SNP detection,...

ratt.sourceforge.net - RATT is software to transfer annotation from a reference (annotated) genome to an unannotated query genome. It was first developed to transfer annotations between different genome assembly versions. However, it can also transfer annotations between...

github.com - Hagfish is a tool that is to be used in data analysis of Next Generation Sequencing (NGS) experiments. Hagfish builds on the concept of coverage plots and aims to assist (amongst others) in quality control of de novo genome assembly or...

schatzlab.cshl.edu - Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used...

In this protocol, we address and describe the de novo assembly method for small to medium-sized genomes.

github.com - MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and...

github.com - Here is the command to run the tool: python finisherSC.py destinedFolder mummerPath If you are running on server computer and would like to use multiple threads, then the following commands can generate 20 threads to run FinisherSC. python...