Author

Andrew Nightingale

European Bioinformatics InstituteORCID 0000-0002-9641-1669Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 4 Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Maria Jesus MartiniD· 4 shared Jie LuoiD· 2 shared Rabie SaidiiD· 2 shared Tunca DoğaniD· 2 shared Vishal JoshiiD· 2 shared Abdulrahman HusseiniD· 1 shared Ahmet K. AtakaniD· 1 shared Ahmet Süreyya RifaioğluiD· 1 shared

Activity by Year

2015-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBioinformatics

Maria Jesus MartinORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Annotation of biologically relevant ligands in UniProtKB using ChEBI

Elisabeth Coudert, Sébastien Géhant, Edouard de Castro, Monica Pozzato, Delphine Baratin, Teresa Batista Neto, Christian J A Sigrist, Nicole Redaschi, Alan James Bridge, Lucila Aimo, Ghislaine Argoud‐Puy, Andrea H Auchincloss, Kristian B. Axelsen, Parit Bansal, Teresa M Batista Neto, , Elena Speretta

The paper reannotates ligand binding sites in UniProtKB using ChEBI identifiers and improves search facilities for these annotations.

Bioinformatics · Dec 9, 2022Peer-reviewedBioinformatics

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations

Tunca Doğan, Heval Ataş, Vishal Joshi, Ahmet K. Atakan, Ahmet Süreyya Rifaioğlu, Esra Nalbat, Andrew Nightingale, Rabie Saidi, Vladimir Volynkin, Hermann Zellner, Rengül Çetin-Atalay, Maria Jesus Martin, Volkan Atalay

The paper introduces CROssBAR, a resource that integrates biomedical data and uses deep learning to predict entity relations, displaying results in knowledge graphs for systems-level analysis of diseases like COVID-19.

Nucleic Acids Research · Jun 11, 2021Peer-reviewedBioinformatics

UniProt Genomic Mapping for Deciphering Functional Effects of Missense Variants

Peter B. McGarvey, Andrew Nightingale, Jie Luo, Hongzhan Huang, Maria Jesus Martin, Cathy H. Wu

The paper maps UniProtKB protein annotations to the human genome and demonstrates their utility in interpreting genetic variants.

Human Mutation · Mar 6, 2019Peer-reviewedGenomics

BioJS-HGV Viewer: Genetic Variation Visualizer

Saket Choudhary, Leyla Garcia, Andrew Nightingale, Maria Martin

BioJS-HGV Viewer provides an interactive tool to visualize genetic variants from multiple sources, enabling detailed exploration of variant sites and annotations.

bioRxiv · Nov 23, 2015 · PreprintBioinformatics