METHODS FOR ANALYZING PCR RESULTS AND IDENTIFYING DIAGNOSTIC SIGNALS USING INFORMATION TECHNOLOGIES

This paper reviews literature on methods for processing real-time polymerase chain reaction (PCR) results and assessing diagnostically relevant signals using information technology. It addresses the storage of raw fluorescence data, baseline correction, analysis of amplification curves and quantification cycle (Cq) values, and verification of control results. A five-stage functional framework is proposed, covering data entry through electronic report generation. The importance of documenting analysis parameters and distinguishing calculated values from diagnostic interpretation is emphasized. The work is based on a literature review; the diagnostic performance of the proposed framework has not been experimentally evaluated.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23840587
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

METHODS FOR ANALYZING PCR RESULTS AND IDENTIFYING DIAGNOSTIC SIGNALS USING INFORMATION TECHNOLOGIES

Nodira Xolboyeva
Zenodo (CERN European Organization for Nuclear Research)
Molecular Biology Techniques and Applications
article

METHODS FOR ANALYZING PCR RESULTS AND IDENTIFYING DIAGNOSTIC SIGNALS USING INFORMATION TECHNOLOGIES

Nodira Xolboyeva
article en

Abstract

This paper reviews literature on methods for processing real-time polymerase chain reaction (PCR) results and assessing diagnostically relevant signals using information technology. It addresses the storage of raw fluorescence data, baseline correction, analysis of amplification curves and quantification cycle (Cq) values, and verification of control results. A five-stage functional framework is proposed, covering data entry through electronic report generation. The importance of documenting analysis parameters and distinguishing calculated values from diagnostic interpretation is emphasized. The work is based on a literature review; the diagnostic performance of the proposed framework has not been experimentally evaluated.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 22%
Molecular Biology Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon