{"id":189,"date":"2016-05-30T16:21:03","date_gmt":"2016-05-30T14:21:03","guid":{"rendered":"https:\/\/www.genoscreen.fr\/assembly-the-reliable-reconstitution-of-genomic-data\/"},"modified":"2026-07-13T19:29:53","modified_gmt":"2026-07-13T17:29:53","slug":"assembly","status":"publish","type":"page","link":"https:\/\/www.genoscreen.fr\/en\/genomic-services\/assembly\/","title":{"rendered":"Assembly – The reliable reconstitution of genomic data"},"content":{"rendered":"\n

The high performance level of NGS technologies<\/a><\/strong> is largely based on bioinformatics methods<\/strong> capable of reassembling entire sequences (contigs <\/strong>or scaffolds<\/strong>) from a very large number of fragments of genomes <\/strong>or transcriptomes<\/strong>.<\/p>\n\n

The first task is to organize and assemble these fragments of information on a reference genome<\/strong>. The goal is to identify variants with the standard, then, to understand their roles and impacts (annotation and interpretation). To this end, our bioinformaticians<\/strong> use semi-automated processing algorithms<\/strong>. This requires considerable calculation and analytical capacities, knowing genomics <\/strong>is now one of the leading consumers of high-performance calculation (HPC)<\/strong> and big data services<\/strong>. <\/p>\n\n

Along with the calculation power, the data storage constitutes another major challenge in terms of volume, performance and security in genomics<\/strong>. In fact, GenoScreen keeps a high level of sensitivity and confidentiality of your data. <\/p>\n\n

Applications – Assembly<\/h2>\n\n

The assembly<\/strong> allows the reconstitution of a whole genome<\/strong> using new sequencing <\/a><\/strong>techniques, either based on a reference genome <\/strong>or via a de novo<\/em> approach.<\/p>\n\n

This reconstruction gives a comprehensive, detailed image of genomic data<\/strong> that facilitates the latter\u2019s interpretation.<\/p>\n\n

GenoScreen – Assembly services provided<\/h2>\n\n

In order to obtain the best results, GenoScreen combines the most suitable methods for each case:<\/p>\n\n