CELLector: Genomics-Guided Selection of Cancer In Vitro Models
Najgebauer, H et al.
Cell Systems, 10, 424-432.e6
Single-cell transcriptomics identifies an effectorness gradient shaping the response of CD4+ T cells to cytokines
Cano-Gamez, E et al.
Nature Communications, 11, Article number: 1801
PubMed: | DOI: 10.1038/s41467-020-15543-y
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
Dempster JM & Pacini C et al.
Nature Communications, 10, 5817
Chromatin activity at GWAS loci identifies T cell states driving complex immune diseases
Soskic B et al.
Nature Genetics, 51, 1486-1493
A cellular census of human lungs identifies novel cell states in health and in asthma
Vieira Braga, FA et al.
Nature Medicine, 25, 1153-1163
Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening
Picco, G et al.
Nature Communications, 10, 2198
Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens
Behan F et al.
Nature, 568, 511-516
The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019
Buniello, A et al.
Nucleic Acids Research, 47, D1005-D1012
ChEMBL: towards direct deposition of bioassay data
Mendez, D et al.
Nucleic Acids Research, 47, D930-D940
Open Targets Platform: new developments and updates two years on
Carvalho-Silva, D et al.
Nucleic Acids Research, 47, D1056–D1065
The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers
Sondka, Z et al.
Nature Reviews Cancer, 18, 696-705
Uncovering new disease indications for G-protein coupled receptors and their endogenous ligands
Freudenberg, JM et al.
BMC Bioinformatics, 19, 345
Unsupervised correction of gene-independent cell responses to CRISPR-Cas9 targeting
Iorio, F et al.
BMC Genomics, 19, 604
Pathway-based dissection of the genomic heterogeneity of cancer hallmarks’ acquisition with SLAPenrich
Iorio, F et al.
Scientific Reports, 8, 6713
Interleukins and their signaling pathways in the Reactome biological pathway database
Jupe, S et al.
The Journal of Allergy and Clinical Immunology, 141, 1411-1416
Designing an intuitive web application for drug discovery scientists
Karamanis, N et al.
Drug Discovery Today, 23, 1169-1174
Comparison, alignment, and synchronization of cell line information between CLO and EFO
Ong, E et al.
BMC Bioinformatics, 18, 557
Uncovering novel repositioning opportunities using the Open Targets platform
Khaladkar, M et al.
Drug Discovery Today, 22, 1800-1807
In silico prediction of novel therapeutic targets using gene–disease association data
Ferrero, E et al.
Journal of Translational Medicine, 15, 182
Reactome enhanced pathway visualization
Sidiropoulos, K et al.
Bioinformatics, 33, 3461–3467
ProtVista: visualization of protein sequence annotations
Watkins, X et al.
Bioinformatics, 33, 2040–2041
Reactome pathway analysis: a high-performance in-memory approach
Fabregat, A et al.
BMC Bioinformatics, 18, 142
Open Targets: a platform for therapeutic target identification and validation
Koscielny, G et al.
Nucleic Acids Research, 45, D985–D994
Transcription factor activities enhance markers of drug sensitivity in cancer
Garcia-Alonso, L et al.
Cancer Research, 78, 769-780
Fine-mapping inflammatory bowel disease loci to single-variant resolution
Huang, H et al.
Nature, 547, 173-178
TnT: a set of libraries for visualizing trees and track-based annotations for the web
Bioinformatics (Oxford, England), 32, 2524-2525
Warped Matrix Factorisation for Multi-view Data Integration
Pratanwanich, N et al.
Part of the Lecture Notes in Computer Science book series, 9852, 789-804
PubMed: | DOI: 10.1007/978-3-319-46227-1_49
Webulous and the Webulous Google Add-On - a web service and application for ontology building from templates
Jupp, S et al.
Journal of Biomedical Semantics, 7, 17
There are no review articles available for this year.
Computational approaches for interpreting scRNA‐seq data
Rostom, R et al.
Febs Letters, 591, 2213-2225
Harnessing public domain data to discover and validate therapeutic targets
Reisdorf WC et al.
Expert Opinion on Drug Discovery, 12, 687-693
The impact of rare and low-frequency genetic variants in common disease
Bomba, L et al.
Genome Biology, 18, 17
Using human genetics to make new medicines
Barrett, JC et al.
Nature Reviews Genetics, 16, 561-562
Understanding inflammatory bowel disease via immunogenetics
de Lange, KM et al.
Journal of Autoimmunity, 64, 91-100