BISC Global launches its Online Pipeline Platform (OP2)

An online pipeline platform facilitating the transition from raw data to interpretable results

BISC Global, a global bioinformatics consulting company, is officially launching its OP2 platform.

“More and more data is being generated and faster than ever before, which has led to the data analysis becoming a significant bottleneck in molecular biology research. With the launch of our OP2, we want to help researchers remove this hurdle” said Jan Ghyssaert, COO at BISC Global.

4 different analysis pipelines

BISC’s OP2 is an online platform, enabling researchers to easily upload their data and run a wide range of bioinformatics analysis pipelines, without the need for any bioinformatics skills or infrastructure The initial platform launched with 4 different analysis pipelines. One for bulk RNA-seq, one for single-cell RNA-seq, one for somatic variant calling and one for germline variant calling. More pipelines will be added to the platform in the coming weeks and months.

“We are very pleased to announce the launch of our OP2 platform. With this platform we enable researchers, both in industry and academia, to analyse their sequencing data at the touch of a button, without the need for any bioinformatics skills, servers or cloud infrastructure. By opening the platform to all researchers, using a simple pay-per-sample model, we believe our OP2 platform will make it a lot easier and faster for researchers to analyse their data”

Maarten Braspenning, CEO

Founded in 2017 BISC Global has grown to be a Top 10 Bioinformatics Consulting and Services Firm supporting the world’s leading pharmaceutical and biotech companies. Through our offices in Ghent, Belgium; Basel, Switzerland; Boston, MA; and San Francisco, CA; BISC Global provides data-analytics, custom tool/pipeline development, and cloud solutions delivered on-site or remotely. By leveraging our global workforce of expert consultants, we support analysis across multiple domains, including machine learning (data mining, pattern recognition, image analysis, (un)supervised learning, neural networks, deep learning, etc.), bioinformatics (single-cell transcriptomics, metabolomics, metagenomics, epigenomics, etc.), and statistics (experimental design, mathematic modelling, signal-to-noise enhancement, and independent data cross validation).

For more information visit the OP2 website

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