Isentio AS Launches RipSeq Single to Speed up Analysis of DNA Target Sequence Files

Isentio AS, Norway is launching RipSeq® Single, an online software analysis tool to increase speed and quality for analysis of DNA target sequence files. The software enables batch analysis of hundreds of sequence files within seconds and incorporates quality assessments to facilitate reliable sequence interpretation and reporting.

DNA target sequencing is the prevailing method for accurate identification of human pathogens and a powerful, culture independent tool in routine diagnostics. With the introduction of RipSeq Single, Isentio now offers a complete software solution for DNA target sequence based identification, whether the samples contains one or multiple pathogens.

“RipSeq Single is sequence analysis made fast and straight forward, whether you analyze one or hundreds of sequences”, says Camilla Huse Bondesson, CEO of Isentio. “With batch upload of sequence files, automatic trimming and consensus generation based on quality scores - all performed with a single click and in a few seconds - we free up resources and ensure rapid and consistent result reporting in a routine setting. This is important as the pressure on routine tasks is getting tougher and tougher.”

“We have incorporated the BLAST® algorithm into RipSeq Single, which is the standard for comparing DNA sequences” says Øystein Sæbø, CTO of the company.

Sæbø continued, “The results are displayed with interpretation data and cut-off values. This will lead to quick and consistent identification of microorganism even among different users. Sequence files and results are securely stored for quality control and easy access. And of course, sequence files containing more than one bacterial species, or an insertion or deletion, will be flagged and can be analyzed by RipSeq Mixed.”

“The most important feature of any DNA target sequencing assay is the database. We have multiple options within our software, both internally validated databases of known pathogens and larger databases based on public references” says Keith Simmon, Senior Application Scientist.

Simmon continued, “But we haven’t just placed the GenBank database into our system. We have assessed the taxonomic validity of the reference and other features, to determine reference quality. All of it to help clinical laboratories make accurate identifications based on the ever-growing amount of new species descriptions and sequence data deposited into public reference databases.”