Import a Wide Range of Formats
Raw data straight off the machine? Assembled results from a sequencing vendor? Analysis output from bioinformatics pipelines? Geneious Prime has it all covered. Simply drag and drop to import FASTQ, FASTA, BAM, VCF, GFF and other formats from almost any sequencing machine including Illumina, PacBio, Nanopore, Ion Torrent and 454.
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.
Mapping, Coverage and Variant Calling using Geneious Prime
De Novo Assembly – Learn how to perform a de novo assembly of short read NGS data, how to work with paired-end data and check quality of an assembly against a reference sequence.
Assembling Chromatograms – Learn how to assemble and edit chromatograms for downstream analyses.
DNA Forensics – The aim of this module is to edit and analyse some “raw” DNA sequence data to determine the origin of a biological sample from a wildlife forensic case.
Circular De Novo Assembly – In this study two mitochondrial genomes are assembled from short-read NGS sequence data using the Geneious de novo assembler and the results compared with assemblies produced by Velvet, MIRA and SPAdes.
De Novo Assembly of a Bacterial Genome – A workflow for assembly and annotation of a bacterial genome from Illumina MiSeq data.
De Novo Assembly of Chloroplasts – Use Geneious Prime to reconstruct a complete, circular, annotated chloroplast genome from a short-read NGS data set.
Identification of Zika Virus – Explore a pipeline which allows accurate identification and analysis of low concentrations of ZIKV from high-throughput metagenomic data.
More Geneious Prime Features
NGS Visualization and Analysis – Comprehensive analysis of data, including genome browser, contig visualization, SNP calling, and RNA-Seq expression analysis.
Alignment – Perform pairwise and multiple alignments of DNA or protein using trusted algorithms, including MAFFT and ClustalW.
Analysis and Annotation – Trim, assemble, annotate and view Sanger sequencing trace files
Molecular Cloning – View plasmid maps, automatically annotate vectors, find restriction sites; digest, ligate, and perform Golden Gate, Gibson, and Gateway cloning.
BLAST / NCBI – Connect to NCBI and PubMed, submit sequences directly to GenBank, BLAST sequences and search your own database.
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.