Skip to main content
Premium Trial:

Request an Annual Quote

Integrated Genomics Extends Software License to Biofuel Firm TMO

NEW YORK (GenomeWeb News) – Integrated Genomics has extended a license agreement with TMO Renewables for IG’s ERGO software for use in a cellulosic ethanol development program. 
Under the agreement, TMO will use IG’s software to identify pathways that can be used to upgrade TMO’s cellulosic ethanol program. Initially, the company plans to focus on its membrane transport proteins in its thermophilic strain.
The software is used to integrate biological data from genomics research, gene expression studies, genetics, and from sources in literature.
TMO’s ethanol production uses “high-temperature process organisms capable of producing bioethanol quickly and efficiently from a wide diversity of sustainable cellulosic feedstocks,” said Kirstin Eley, external program manager at TMO.
The ERGO software contains over 1,350 genomes that are in various stages of completion and more than 6,000 networked metabolic and non-metabolic pathways.
Financial terms of the agreement were not released.

The Scan

UCLA Team Reports Cost-Effective Liquid Biopsy Approach for Cancer Detection

The researchers report in Nature Communications that their liquid biopsy approach has high specificity in detecting all- and early-stage cancers.

Machine Learning Improves Diagnostic Accuracy of Breast Cancer MRI, Study Shows

Combining machine learning with radiologists' interpretations further increased the diagnostic accuracy of MRIs for breast cancer, a Science Translational Medicine paper finds.

Genome Damage in Neurons Triggers Alzheimer's-Linked Inflammation

Neurons harboring increased DNA double-strand breaks activate microglia to lead to neuroinflammation like that seen in Alzheimer's disease, a new Science Advances study finds.

Long COVID-19 Susceptibility Clues Contained in Blood Plasma Proteome

A longitudinal study in eBioMedicine found weeks-long blood plasma proteome shifts after SARS-CoV-2 infection, along with proteomic signatures that appeared to coincide with long Covid risk.