LightCycler
E822400
LightCycler is a real-time PCR instrument platform developed by Roche Diagnostics for rapid and quantitative analysis of nucleic acids in molecular biology and clinical diagnostics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LightCycler canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
laboratory instrument
ⓘ
real-time PCR instrument ⓘ |
| applicationArea |
biotechnology research
ⓘ
clinical laboratories ⓘ pharmaceutical research ⓘ research laboratories ⓘ |
| brand | Roche LightCycler NERFINISHED ⓘ |
| dataOutput |
amplification curves
ⓘ
quantification cycle values ⓘ |
| developer | Roche Diagnostics NERFINISHED ⓘ |
| feature |
high-throughput capability
ⓘ
integrated optical detection system ⓘ quantitative measurement of PCR products ⓘ rapid cycling times ⓘ real-time fluorescence monitoring ⓘ software for data analysis ⓘ thermal cycling ⓘ |
| field |
clinical microbiology
ⓘ
molecular biology ⓘ molecular diagnostics ⓘ |
| hasVersion |
LightCycler 1.0
NERFINISHED
ⓘ
LightCycler 2.0 NERFINISHED ⓘ LightCycler 480 NERFINISHED ⓘ LightCycler Nano NERFINISHED ⓘ cobas z 480 Analyzer NERFINISHED ⓘ |
| manufacturer | Roche Diagnostics NERFINISHED ⓘ |
| supports |
SYBR Green assays
ⓘ
hybridization probe assays ⓘ hydrolysis probe assays ⓘ multiplex PCR assays ⓘ |
| technology |
fluorescence-based detection
ⓘ
polymerase chain reaction ⓘ |
| usedFor |
clinical diagnostics
ⓘ
gene expression analysis ⓘ genotyping ⓘ molecular biology research ⓘ mutation analysis ⓘ pathogen detection ⓘ quantitative PCR ⓘ quantitative analysis of nucleic acids ⓘ rapid analysis of nucleic acids ⓘ real-time PCR ⓘ |
| usedIn |
SNP genotyping
ⓘ
bacterial load quantification ⓘ infectious disease diagnostics ⓘ oncology molecular diagnostics ⓘ pharmacogenetic testing ⓘ quantitative gene expression studies ⓘ viral load monitoring ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: LightCycler Description of subject: LightCycler is a real-time PCR instrument platform developed by Roche Diagnostics for rapid and quantitative analysis of nucleic acids in molecular biology and clinical diagnostics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.