February 23, 2021
February 23, 2021 | Shortly after his appointment as the CIO for the National Institute of Allergy and Infectious Diseases (NIAID) in 2003, Mike Tartakovsky renamed the NIAID Office of Technology and Information Systems. Rechristened the NIAID Office of Cyberinfrastructure and Computational Biology (OCICB), the name change reflects the realization that information technology has become a fundamental research tool for the biomedical research community. As he put it in a conversation with
Bio-IT World earlier this year: There are no non-computational disciplines left.
NIAID was doing its part to share that message by training collaborators and sponsored researchers in Africa, India, and around the globe in advanced bioinformatics. But, Tartakovsky remembered, the institute was missing the mark.
Immunai Joins 10x To Scale Single Cell Genomics December 21, 2020
By Allison Proffitt
December 21, 2020 | Immunai has announced its collaboration with 10x Genomics as one of the first 10x Certified Service Providers. Immunai will leverage 10x’s robust single-cell technologies to map hundreds of cell types and states. By applying its proprietary artificial intelligence and machine learning algorithms, Immunai supports biomarker discovery and insight generation to ultimately power new therapeutic discoveries and accelerate drug development.
Immunai was started by Luis Voloch and Noam Solomon about two years, Voloch told
Bio-IT World. The goal is to “revolutionize immunology” by scaling single cell genomics, he said, both in the lab and computationally.
December 15, 2020
By Allison Proffitt
December 15, 2020 | Sequencing in the palm of your hand is now a reality. Oxford Nanopore’s MinION is a handheld sequencer that has been used “in the field” to sequence genomic materials in Africa in the middle of the Ebola outbreak, in South America during the Zika outbreak, and even on the International Space Station. But even as the sequencers are spitting out reads, that’s not solving the analysis problem.
iGenomics can do that for you.
In a paper published in
GigaScience (DOI: 10.1093/gigascience/giaa138), a team of researchers presents what they call the first comprehensive mobile genome analysis application, with capabilities to align reads, call variants, and visualize the results entirely on an iOS device. What started as a high school student’s internship project is now freely available in the App Store.