Igenbio introduces automated sequence analysis for researchers

CHICAGO–Igenbio, Inc. announced today the addition of ‘ERGO Workflows’, a suite of automated analysis pipelines that transforms raw sequence data into actionable results. “Bioinformatics tools are typically command line Linux programs requiring intensive computer resources. This presents a major barrier to starting research. Igenbio’s aim is to make the best analysis tools available to every researcher. That’s why we’re so excited to announce ERGO Workflows, because it brings us closer than ever to that goal,” says Vinayak Kapatral, President CEO of Igenbio, Inc.

ERGO is a professionally curated genomic data coupled with leading scientific analysis tools customizable for data application and management available anywhere in the world from a web browser. Scientists and software engineers at Igenbio have developed an easy-to-use interface for sequence analysis. Starting is easy – just simply drag and drop files into ERGO. Then choose one of the pre-configured Workflows and off you go. Each of ERGO’s workflows implement academically-proven peer-reviewed algorithms, creating ready to publish results. All data added to ERGO is protected by state-of-the-art encryption in our secure cloud infrastructure. ERGO Workflows are also accessible via application programming interface (API). Researchers can use the ERGO’s API to further automate and integrate analysis tasks into any existing environment. These advanced work flow integrations along with the ERGO’s curated genomic database enable industrial, academic, and medical scientists to discover and develop bio-based products, and diagnostic biomarkers or compounds.

About Igenbio

Chicago-based Igenbio, Inc. specializes in research in microbial genomics, biochemistry, and gene expression. Igenbio, Inc. serves a broad customer base across industry, academic and government institutions. ERGO 2.0 integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, biochemical with genome and gene-centric tools for genome research.

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