Comparative transcriptomics in human and mouse

A Breschi, TR Gingeras, R Guigó - Nature Reviews Genetics, 2017 - nature.com
Cross-species comparisons of genomes, transcriptomes and gene regulation are now
feasible at unprecedented resolution and throughput, enabling the comparison of human …

[HTML][HTML] The BRENDA enzyme information system–From a database to an expert system

I Schomburg, L Jeske, M Ulbrich, S Placzek… - Journal of …, 2017 - Elsevier
Enzymes, representing the largest and by far most complex group of proteins, play an
essential role in all processes of life, including metabolism, gene expression, cell division …

Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks

E Sebestyén, B Singh, B Miñana, A Pagès… - Genome …, 2016 - genome.cshlp.org
Alternative splicing is regulated by multiple RNA-binding proteins and influences the
expression of most eukaryotic genes. However, the role of this process in human disease …

Tissue enrichment analysis for C. elegans genomics

D Angeles-Albores, RY N. Lee, J Chan… - BMC …, 2016 - Springer
Background Over the last ten years, there has been explosive development in methods for
measuring gene expression. These methods can identify thousands of genes altered …

Detection of recurrent alternative splicing switches in tumor samples reveals novel signatures of cancer

E Sebestyén, M Zawisza, E Eyras - Nucleic acids research, 2015 - academic.oup.com
The determination of the alternative splicing isoforms expressed in cancer is fundamental for
the development of tumor-specific molecular targets for prognosis and therapy, but it is …

Mining data and metadata from the gene expression omnibus

Z Wang, A Lachmann, A Ma'ayan - Biophysical reviews, 2019 - Springer
Publicly available gene expression datasets deposited in the Gene Expression Omnibus
(GEO) are growing at an accelerating rate. Such datasets hold great value for knowledge …

One-class detection of cell states in tumor subtypes

A Sokolov, EO Paull, JM Stuart - Biocomputing 2016: Proceedings of …, 2016 - World Scientific
The cellular composition of a tumor greatly influences the growth, spread, immune activity,
drug response, and other aspects of the disease. Tumor cells are usually comprised of a …

Supervised learning is an accurate method for network-based gene classification

R Liu, CA Mancuso, A Yannakopoulos… - …, 2020 - academic.oup.com
Background Assigning every human gene to specific functions, diseases and traits is a
grand challenge in modern genetics. Key to addressing this challenge are computational …

CellO: Comprehensive and hierarchical cell type classification of human cells with the Cell Ontology

MN Bernstein, Z Ma, M Gleicher, CN Dewey - Iscience, 2021 - cell.com
Cell type annotation is a fundamental task in the analysis of single-cell RNA-sequencing
data. In this work, we present CellO, a machine learning-based tool for annotating human …

A computational framework for genome-wide characterization of the human disease landscape

Y Lee, A Krishnan, R Oughtred, J Rust, CS Chang… - Cell systems, 2019 - cell.com
A key challenge for the diagnosis and treatment of complex human diseases is identifying
their molecular basis. Here, we developed a unified computational framework, URSA HD …