We’re in the final stages of testing our latest release, MacVector 17, which will be released in January. Here’s a preview of just one of the new tools within our most feature packed release yet. MacVector 17’s brand new Restriction Enzyme Picker is a new floating tool for selecting and filtering Restriction Enzymes to simplify […]
The continuing advances in Next Generation Sequencing have made it relatively low cost to sequence prokaryotic genomes. Many scientists are embarking on large projects to sequence multiple related genomes. These might be clinical isolates of the same species exhibiting different pathogenetic properties, environmental isolates from different sites, or a study over time of the changes […]
As well as Scan for.. Missing Features that shows annotation on your sequences, you may have noticed extra CDS features annotated to your sequences. These are from the Scan for.. Open Reading Frames tool that automatically scans every DNA sequence window for open reading frames and displays the results in the Map tab. It’s very useful, […]
There are a number of MacVector analyses that generate tabular text output. Examples include the Protein Analysis Toolbox List output, the Raw Data tab of the ABI chromatogram document window, the Matrix tab of the multiple sequence alignment document windows and the Coverage tab of the Bowtie contig editor. Each of these is actually composed […]
How to design a digest to screen minipreps after a ligation. (View full size on website…) Tweet
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 […]
We’ve previously discussed how important it can be to make sure you are using the appropriate number of fastq reads from an NGS experiment to ensure you obtain the results you are looking for. Using too many reads can confuse algorithms with the massive coverage increasing mis-assemblies due to background errors in the reads. In […]
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 […]
Any molecular biologist should be able to start getting useful results within an hour of starting to use MacVector by just exploring the toolbar and menus. Everything is logically named to be obvious. However, there’s still a lot of functionality that a user will never know exists. That is unless you read the manual or […]