NGS Pre-Processing, Mapping and De Novo Assembly
Import any data type, demultiplex, trim, filter, assemble or map to reference.
Extensive Pre-Processing of Sequencing Reads
Clean sequence data is critically important for accurate downstream analysis. Make sure your data is in tip-top shape by taking advantage of easy access to all of the necessary pre-processing tools:
- Demultiplex/split by barcode
- Trim and filter by read quality
- Trim adapters
- Merge paired reads
- Error correct and normalize
- Filter out chimeras
Reliable Reference Mapping
The exclusive Geneious Read mapper with its iterative approach produces superior results when compared to other popular mapping algorithms and can correctly align structural variants. If you need something a bit different, Bowtie, TopHat and BBMap are all at your fingertips.
Flexible De Novo Genome Assembly
The Geneious Assembler is ﬂexible enough to handle data from any type of sequencing machine with reads of any length, including paired-reads and mixtures of reads from different sequencing machines. It’s particularly good for microbial assemblies with the unique capability to produce circular contigs. Alternatively, running MIRA, SPAdes, Tadpole or Velvet is just as easy, and MAUVE genome alignment is on hand to help you with genome comparison and finishing.
EXPLORE GENEIOUS PRIME
Geneious is an absolutely beautiful package to work with. We love it and we are telling everyone about it.
We bought Geneious to work with Illumina datasets, and were delighted in its power and intuitive interface. It really takes advantage of multi-core processing, assembling tens of millions of reads to a reference sequence in minutes on a desktop system. And the strong user community means that help is not far off—hours after I posted a thread about a task I wanted to do, another user had a perfect solution! Finally we have an integrated system at an affordable price for all our DNA sequence analysis needs. Thanks, Geneious.
Geneious is the perfect combination of ease-of-use and bioinformatic refinement. Students easily grasp many of the concepts of bioinformatics because the sequence data is visualized so well. As researchers, we routinely use its functionality to perform data analysis on real data.