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Bioinformatics for study of autoimmunity
Nikolai Petrovsky,
Vladimir Brusic
Research output
:
Journal Publication
›
Article
›
peer-review
16
Citations (Scopus)
Overview
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Keyphrases
Autoimmunity
100%
B-cell Epitope
25%
Bioinformatics
100%
Bioinformatics Methods
25%
Biological Data
50%
Biological Structures
25%
Clinical Data
25%
Database Tool
25%
Efficient Retrieval
25%
Epidemiological Data
25%
Explosive Growth
25%
Genetic Map
25%
Genomic Tools
25%
High-throughput
25%
Immune System Function
25%
Immunoinformatics
75%
Immunology
25%
Integrative Approach
25%
Physical Mapping
25%
Proteome
25%
Proteomic Tools
25%
Research Stand
25%
Retrieval Analysis
25%
Sequence Data
25%
Storage Analysis
25%
Storage Modelling
25%
Structure Map
25%
T Cell Epitope
25%
Web Server
25%
Neuroscience
B Cell
100%
Epitope
100%
Gene Structure
100%
Proteomics
100%
T Cell
100%
Immunology and Microbiology
Anatomical Concepts
25%
Autoimmunity
100%
B Cell
25%
Epidemiological Data
25%
Epitope
25%
Immune System Function
25%
Immunology
25%
Information Retrieval
25%
T Cell
25%
Medicine and Dentistry
Anatomical Concepts
25%
Autoimmunity
100%
B Cell
25%
Epitope
25%
Immune System Function
25%
Immunology
25%
Proteomics
25%
T Cell
25%
Biochemistry, Genetics and Molecular Biology
Autoimmunity
100%
B Cell
25%
Epidemiological Data
25%
Genetic Structure
25%
Information Retrieval
25%
Proteome
25%
Proteomics
25%
T Cell
25%
Pharmacology, Toxicology and Pharmaceutical Science
Epitope
100%