Qlucore launches Next Generation Sequencing (NGS) Module
Qlucore, a provider of bioinformatics visualisation software, has announced the beta version of Qlucore Omics Explorer 3.3. This includes a completely new Next Generation Sequencing (NGS) Module, and range of new functionalities for the base version.
The NGS Module will enable additional functionality related to data generated with NGS technologies which will make it possible to dynamically visualise and analyse NGS data.
Qlucore Omics Explorer is a bioinformatics software program for broad usage known for its user interface and advanced visualisation capabilities. With the Qlucore Omics Explorer NGS module it is now possible for biologists and researchers who are not data analysis experts to explore NGS and data, find new answers and generate new hypotheses.
RNA-seq studies is one of the most used techniques in modern genetics and cancer research, and the NGS Module enables a synchronised view of both expression levels and genomic locations. One of the main components in the NGS Module is the Genome browser which, in combination with the dynamic filters, ensures that the user is always visualising the most interesting regions of the genome which minimises the need for zoom and scroll.
Many users in the NGS space today are prevented from undertaking analysis due to the requirements of servers and high performance computers. Qlucore introduces an innovation with assumption free pre-processing. Work is divided in two phases. The pre-process takes time but is only done once and can be run on any local computer or server running Windows or Mac. Visualisation and Analysis are performed as a second phase on a normal computer (PC or Mac) which utilises the pre-processed information.
The main components of the NGS module are:
- A project manager for project set-up and definition of which files and samples to include.
- A built in variant caller for short indels and variants.
- An interactive and fast Genome browser for many samples and many tracks per sample
- A genome filter control component for dynamic filtering
Workflow and data storage
The project files and associated data for indexing samples are stored locally on the user’s computer to secure fast access and interactivity, whilst large files such as BAM files can be stored anywhere on a network.
The options available for RNA-seq analysis stand out. Utilisation of the existing functionality in QOE for expression data and combining it with the new NGS functionality enable significantly increased options for analysis.
When a RNA-seq project is initiated, the project manager will (during the pre-process stage) calculate both quantitative normalised expression levels as well as prepare the data for the genome browser. The program is built to seamlessly handle information both from a quantitative and genomic view. As an example the user can define discriminating genes with a t-test, visualise them in a heat map and at then study the genes in the genome browser. If a sample group is selected or de-selected all samples in both plots will be updated and analysis can continue without any requirements or restarts.
Data and file types
A reference genome is mandatory. All organisms are supported provided a reference genome expressed with the .fasta file format is available.
Variant calling can be done with the inbuilt variant caller which uses Samtools (http://www.htslib.org/) or the user can load a VCF file from another variant caller.
The filter component is flexible and lets the user combine multiple filters to select the relevant regions to analyse. The filter can be applied to calculated values such as read coverage as well as presence and matches with certain names. An example is: To create a combination of filters on parameters such as variants being present in the VCF file and named “A” and not present in the VCF file named “B” and combine this with a requirement that all displayed bases shall have a read coverage of at least 50.
The visualisation options and possibilities of the 'to do' selections are extensive in the fast and interactive genome browser. Example of options are:
- Display one or several samples
- Add and display any number of annotation tracks
- Navigation tracks for improved orientation in three levels (whole genome, chromosome and gene)
- Tracks for all accepted data types showing for instance deletions and insertions
- Tracks with coding regions, genes, introns, exons etc. extracted from GTF file
- Padding to control how many filtered bases are to be shown to make sure that edge effects are not affecting the analysis
- Detailed information on selected features in the annotations
- High quality 2-D graphics exports of the genome browser content in png, jpg, bmp, TIFF or pdf (vector graphics).
- Report list of variants in the browser and the corresponding information such as BED and Cytoband. HGVS (http://varnomen.hgvs.org) strings are provided as well as reference sequence specifiers missing and protein levels.
- Sample management
- Samples can be organised into groups using sample annotations.
- Active/visible samples can be managed using sample annotations.
- Import of sample annotation files (*.txt, *.csv)