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Bioinformatics in Next Generation Sequencing

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Bioinformatics in Next Generation Sequencing (NGS)

Find Bioinformatic Service Provider  |  Software Tools  |  Genetic Databases

Introduction to Bioinformatics in NGS

The current progress and boom in next generation sequencing technology application is generating huge amounts of sequencing data. A single run of an Illumina HiSeq platform can generate more than 1000 Gb data. This data need to be processed, analyzed and stored. Depending on the analysis of interest, these data must be mapped against reference databases. The number and size of reference data bases is constantly growing. Big efforts are undertaken in cross linking existing data bases. This website provides a list of data bases and data base search tools. More information on big data in bioinformatics are found under publications.

You will find a number of meetings, workshops or webinars related to bioinformatics in next generation sequencing on this website. 

For NGS data analysis high computing power is required. Furthermore, storage of sequencing data needs large amounts of memory space. Currently, many applications operate on cloud servers. One major drawback of using cloud environments is the requirement for stringent data protection.

Edico Genomics has developed the first next generation sequencing reconfigurable bioinformatics processor the DRAGEN™ Bio-IT Processor. This new processor accelerates data analysis and reduces data analysis and storage costs significantly. 

Software Tools for NGS Data Processing and Analysis

The data processing and analysis remains one of the greatest challenges in NGS. There are many sources for incorrect assembly of raw data to consensus sequences. Errors can be introduced during sample preparation and amplification steps while others arise during sequencing and data analysis. Different algorithms are applied for error correction and trimming of raw data leading to a variety of quality control and trimming tools.

Many bioinformaticians develop their own analysis software, workflows, and reference databases. Depending on the field of interest, it is virtually impossible to maintain an overview on the numerous open source analysis tools available. There are multiple software tools for assembling & binning, alignment & reference mapping, different data analysis, variant analysis & variant calling, data base search, and visualization available. More and more platforms offer complex analysis workflows or workflow management tools. These platform utilize a number of different software tools whereas the user can connect and use different software tools within the analysis workflow. In the early stage most analysis tools were based on the open source Linux system, which uses command line interfaces.
As NGS technology is widely applied among non bioinformaticians a high demand for simple analysis tools has emerged. Nowadays, a constantly growing number of commercial software analysis tools are on the market available. Most of these applications are based on graphic user interface (GUI) systems and are compatible with the Windows operating platform.

The major NGS technology provider developed new sequencer with integrated basic analysis protocols or maintain analysis software solutions. 

Genetic Databases

The vast amount of genetic data generated by application of next generation sequencing technology need to be analyzed, stored, and provided for further analysis and utilization. Data privacy and data ownership issues are some of the main factors that need to be considered for public data access. Personal patient data are often stored only at the corresponding health or diagnostic centers. Data of research and development projects in the industry are sometimes hold back by the corresponding companies. Nevertheless, the number of public available genetic databases is constantly increasing. On The NGS Hub website you will find a large number of genetic databases including general databases, animal genetic databases, cancer genetic databases, human genetic databases, microbial genetic databases, plant & fungi genetic databases, and RNA databases.  

Bioinformatic Services

As the complexity of NGS data processing and analysis is still challenging and new application fields are frequently added the demand for professional bioinformatics services is still continuing. This website provides one of the most comprehensive list of bioinformatic service provider specialized in genetic data analysis. 
For further information and questions you can also contact our bioinformatic services and consultancy division with extensive experiences in NGS data analysis and software development. 

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