Revolutions in AI, biology and automation are enabling a new approach to medicine. Deep Genomics is at the forefront.
Deep Genomics Inc., MaRS Discovery District, Toronto, Ontario, Canada Michael Wainberg, Daniele Merico, Andrew Delong & Brendan J Frey Department of Computer Science, Stanford University, Stanford, California, USA Michael Wainberg Corresponding author ...
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires m
Deep dive into immunity: decode with proteogenomicsdoi:10.1038/d43747-021-00006-0Rapid Novor IncBiopharma Dealmakers
Janggu - Deep learning for Genomics Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license. In particular, the package allows for easy access to typicalGenomics data formatsandout-of-the-box evaluation(for ...
A major challenge for effective application of CRISPR systems is to accurately predict the single guide RNA (sgRNA) on-target knockout efficacy and off-target profile, which would facilitate the optimized design of sgRNAs with high sensitivity and specif
Genomics, 106 (2015), pp. 159-164 View PDFView articleView in ScopusGoogle Scholar Jain et al., 2015 D. Jain, S. Baldi, A. Zabel, T. Straub, P.B. Becker Active promoters give rise to false positive ‘Phantom Peaks’ in ChIP-seq experiments Nucleic Acids Res., 43 (2015), pp. ...
learning the functional activity of DNA sequencing and DNA methylation: • DNA sequencing: Learning the functional activity [127], quantifying the function [128] or identifying functional effects of noncoding variants [129] of DNA sequences from genOmics data are fundamental problems in Omics applic...
2023, Briefings in Functional Genomics DeepLUCIA: predicting tissue-specific chromatin loops using Deep Learning-based Universal Chromatin Interaction Annotator 2022, Bioinformatics scGraph: A graph neural network-based approach to automatically identify cell types 2022, Bioinformatics OpenAnnotate: A web ser...
At this stage, Basenji is something in between personal research code and accessible software for wide use. The primary challenge is uncertainty in what the best role for this type of toolkit is going to be in functional genomics and statistical genetics. The computational requirements don't make...