Toolkit/whole-genome sequencing

whole-genome sequencing

Also known as: WGS

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

While these methods, like polymerase chain reactions or whole-genome sequencing, are considered the "gold standard" for diagnostics, the development of inexpensive, rapid diagnostic assays is necessary for effective AMR detection and management.

Usefulness & Problems

No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.

Published Workflows

Objective: Use genomics to standardise and personalise bacteriophage therapy by improving safety assessment, rational phage selection, and adaptive treatment updates.

Why it works: The review states that genome data can be used both to exclude unsafe phage features and to predict efficacy-relevant determinants, while longitudinal genomic monitoring can support treatment adaptation.

exclusion of virulence factorsexclusion of antibiotic resistance genesexclusion of lysogeny markersidentification of receptor-binding proteinscharacterisation of bacterial defence systemsmonitoring bacterial population evolutionwhole-genome sequencingsystematic genomic screening

Stages

  1. 1.
    Genomic safety assessment(in_silico_filter)

    The abstract states that WGS provides a basis for safety assessment before broader therapeutic use.

    Selection: Systematic screening to exclude virulence factors, antibiotic resistance genes, and markers of lysogeny.

  2. 2.
    Genomics-guided efficacy prediction and phage selection(hit_picking)

    The abstract states that WGS facilitates prediction of therapeutic efficacy and supports more rational phage selection.

    Selection: Identify receptor-binding proteins and characterise bacterial defence systems to support more rational phage selection and efficacy prediction.

  3. 3.
    Clinical genomic monitoring and treatment adaptation(confirmatory_validation)

    The abstract states that WGS data are used in clinical settings to support personalised, adaptive phage therapy.

    Selection: Monitor evolution of bacterial populations during treatment and adapt phage cocktails accordingly.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete computational method used to design, rank, or analyze an engineered system.

Target processes

diagnostic

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1review summarysupports2025Source 1needs review

Biosensors have potential for diagnostic testing because they are easy to use, use inexpensive materials, provide rapid results, and are portable.

Claim 2review summarysupports2025Source 1needs review

Combining biosensors with nanomaterials can produce sensitive and easily interpretable diagnostic results.

Claim 3review summarysupports2025Source 1needs review

Current methods for detecting antimicrobial resistance genes are expensive and time-consuming.

Claim 4review summarysupports2025Source 1needs review

Polymerase chain reactions and whole-genome sequencing are considered gold-standard diagnostics for antimicrobial resistance detection.

Claim 5review summarysupports2025Source 1needs review

There is a need for inexpensive, rapid diagnostic assays for effective antimicrobial resistance detection and management.

Approval Evidence

1 source2 linked approval claimsfirst-pass slug whole-genome-sequencing
While these methods, like polymerase chain reactions or whole-genome sequencing, are considered the "gold standard" for diagnostics, the development of inexpensive, rapid diagnostic assays is necessary for effective AMR detection and management.

Source:

review summarysupports

Current methods for detecting antimicrobial resistance genes are expensive and time-consuming.

Source:

review summarysupports

Polymerase chain reactions and whole-genome sequencing are considered gold-standard diagnostics for antimicrobial resistance detection.

Source:

Comparisons

No literature-backed comparison notes have been materialized for this record yet.

Ranked Citations

  1. 1.

    Seeded from load plan for claim cl1. Extracted from this source document.