Multi-Omics of Single Cells: Strategies and Applications

Trends in Biotechnology

Volumn 34, Issue 8, 2016, Pages 605-608

  Bock, Christoph ^a,b,c   Farlik, Matthias ^a   Sheffield, Nathan C ^a  

^a ERICH SCHMID INSTITUTE OF MATERIALS SCIENCE   (Austria)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

^c MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

bioinformatic methods; cell state profiling; combined genome epigenome transcriptome proteome metabolome mapping; molecular medicine; single cell analysis; single cell systems biology

Indexed keywords

BIOINFORMATICS; CYTOLOGY; GENES;

BIOINFORMATIC METHODS; CELL STATE; MOLECULAR MEDICINE; SINGLE CELL SYSTEMS; SINGLECELL ANALYSIS;

CELLS;

DNA; PROTEIN; PROTEOME; RNA; TRANSCRIPTION FACTOR; TRANSCRIPTOME;

BIOMICS; CELL ASSAY; CHROMOSOME STRUCTURE; DATA ANALYSIS; DNA METHYLATION; DNA SEQUENCE; GENE DOSAGE; GENE EXPRESSION; GENOME; HUMAN; MASS SPECTROMETRY; METABOLOME; MULTIOMICS; NANOPORE; PRIORITY JOURNAL; SHORT SURVEY; CELL FUNCTION; GENE EXPRESSION PROFILING; GENOMICS; HIGH THROUGHPUT SCREENING; PROCEDURES; SYSTEM ANALYSIS; TISSUE MICROARRAY; TRENDS;

CELL PHYSIOLOGICAL PHENOMENA; GENE EXPRESSION PROFILING; GENOMICS; HIGH-THROUGHPUT SCREENING ASSAYS; SYSTEMS INTEGRATION; TISSUE ARRAY ANALYSIS;

EID: 84969504939     PISSN: 01677799     EISSN: 18793096     Source Type: Journal    
DOI: 10.1016/j.tibtech.2016.04.004     Document Type: Short Survey

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