The Velvet assembly algorithm in MacVector is blazingly fast and generates excellent assemblies. However, you do have to be careful when assembling NGS data to be sure that the parameters you submit are appropriate for the data you are assembling in order to get optimal results. By far the most important parameter is the KMER […]
MacVector 16 incorporates no less than THREE different de novo assemblers, phrap, velvet and SPAdes. While all are great assemblers, with each having their own specific advantages, none of them will generate a circular sequence from input reads. However, MacVector 16 also includes a new feature to help you with this. If you are assembling […]
To assemble various types of sequencing reads, follow these steps. Choose File | New | Assembly Project to create a new empty project file. Then follow one of the following: To create a de novo assembly from Sanger reads Click on the Add Reads tool bar button, then select the sequence files you wish to […]
There are many genomes in the Genbank database that cannot be downloaded as single annotated sequences. These might be large multi-chromosome eukaryotic genomes, but, increasingly, partially sequenced bacterial chromosomes where the major contigs have been annotated using the NCBI annotation pipeline. Typically, when you encounter these, there are options to download annotated versions of these […]
If you have the Assembler module, MacVector can align millions of NGS reads from RNASeq experiments against large genomes and generate a coverage table displaying the relative expression levels of every gene in a genome. The key to this functionality is that you must have a reference genome with genes annotated as CDS or gene […]
MacVector 16 incorporates no less than THREE different de novo assemblers, phrap, velvet and SPAdes. While all are great assemblers, with each having their own specific advantages, none of them will generate a circular sequence from input reads. However, MacVector 16 also includes a new feature to help you with this. If you are assembling […]
Not so long ago, to assemble even a small genome with Next Generation Sequencing data required an array of clustered computers and a lot of patience. But improvements in algorithms and hardware mean that it is now realistic to assemble bacterial genomes, or even smaller eukaryotic genomes using MacVector on a modest laptop machine. MacVector […]
MacVector has a plugin module called Assembler that integrates directly into the main package and provides sequence assembly functionality. Assembler was designed from the ground up to be easy to use and allow users to easily manage the large amount of data that sequencing generates nowadays. The Assembler interface is built around the Assembly Project […]
[Edit December 20, 2017 – As of MacVector 15.5 you can simply right click a READ and select “SEE MATCHING READS” to view the pair of reads. The total sequence length is selected. ] Insert length is the length of the sequence in between a pair of reads. Sequencers are supplied DNA samples in fragments of […]
Generating sequencing data is cheaper than it has ever been. However, with this increase in data has come a problem with easy analysis. Assembling 20 reads for your site directed mutagenesis project is easy. Why should dealing with 20 million reads of your bacterial genome be any harder? In our Summer newsletter we talk about […]