algorithmic UTI's
CSAIL article
Algorithm Reduces Unnecessary Use of Antibiotics for UTIs

One paradox about antibiotics is that, broadly speaking, the more we use them, the less they continue to work. The Darwinian process of bacteria growing resistant to antibiotics means that, when the drugs don't work, we can no longer treat infections, leading to groups like the World Health Organization warning about our ability to control major public health threats.

work of the future
AI and the Work of the Future Congress
Work of the Future Event of the Year
The 4th annual Congress was a virtual event that featured the final report from the MIT Task Force on the Work of the Future. Hosted by MIT's Task Force on Work of the Future, CSAIL, and Initiative on the Digital Economy, this year's Congress highlighted research findings from the MIT Task Force on Work of the Future's final report released in November 2020. Given the rapidly changing environment brought on by Covid-19, this topic is more important and relevant than ever.
Bonnie Berger, NAS
CSAIL article
Bonnie Berger Elected to NAS

MIT professor Bonnie Berger was elected to the National Academy of Sciences (AAAS) for her “distinguished and continuing achievements in original research.” She joins a new class of 146 members, including 26 internationally.

carnelian
Category
Computational Biology
Language
Python

We present Carnelian, a pipeline for alignment-free functional binning and abundance estimation, that leverages low-density even-coverage locality sensititve hashing to represent metagenomic reads in a low-dimensional manifold. When coupled with one-against-all classifiers, our tool bins whole metagenomic sequencing reads by molecular function encoded in their gene content at significantly higher accuracy than existing methods, especially for novel proteins.

MIT License
Last Updated
opal
Category
Computational Biology
Language
Python

Metagenomic binning using low-density hashing a support vector machine

GNU GPL License
Last Updated
MICA (Metagenomic Inquiry Compressive Acceleration)
Category
Computational Biology
Language
Python

MICA (Metagenomic Inquiry Compressive Acceleration) is a family of programs for performing compressively-accelerated metagenomic sequence searches based on BLASTX and DIAMOND. MICA also includes compressively accelerated versions of the BLASTP family of tools (including PSI-BLAST and DELTA-BLAST), as well as a compression tool (mica-compress) for creating searchable, compressed databases based on an input FASTA file.

GNU GPL License
Last Updated
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