Agarose Gel Electrophoresis

Analytical Foundations

Using Instruments and Equipment

• Answer questions about gel electrophoresis setup and procedure

Obtaining and Recording Data

• Compare and measuring migration distances of bands on a gel

Manipulating and Presenting Data

• Generate standard curves for migration distance

Interpreting and Analysing Data

• Draw conclusions from looking at gels

Concepts, Principles and Theories

• Answer questions related to agarose gel electrophoresis

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Identifying and Troubleshooting Errors

Concepts, Principles and Theories

• Apply knowledge of experimental aspects of agarose gel electrophoresis and how they may affect experimental outcomes

Interpreting and Analysing Data

• Identify errors and determine the influence, or lack thereof, that they have on experimental results

Using Instruments and Equipment

• Identify a myriad of issues at various points in agarose gel electrophoresis

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Planning and Running Experiments

Concepts, Principles and Theories

• Apply gel electrophoresis fundamentals to a genetic experimental scenario

Interpreting and Analysing Data

• Identify errors and their cause in results

• Determine the identity of a pathogen and severity of a disease

Manipulating and Presenting Data

• Create and use a standard curve

Obtaining and Recording Data

• Measure migration distance of DNA fragments in an agarose gel

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Crime Scene Investigation

Incident Scene: Assessment and Examination

Obtaining and Recording Data

• Why information gathering and communication skills are important in maximising forensic evidence opportunities

• How to identify priority forensic evidence and other evidence types relevant to the investigation

• How to record observations, actions and priority evidence 

• How to develop a forensic strategy for evidence recovery and a hypothesis 

• How to maximise forensic evidence opportunities

Interpreting and Analysing Data

• How to interpret fingerprint, DNA, footwear, drugs, fibres, glass and other forensic evidence

• What factors should be taken into account when considering the value and significance of evidence

• How to interpret forensic evidence and its priority and significance for the investigation

• How to develop a forensic strategy for evidence recovery and a hypothesis as to the circumstances of the incident

Concepts, Principles and Theories

• Forensic Science Regulator Codes of Conduct and Practice

• ISO 17020 accreditation criteria

• Dynamic health and safety risk assessment 

• Locard’s Principle

• Crime scene management

• College of Policing Murder Investigation Manual

Find out more about Incident Scene: Assessment and Examination

Scene Management: Prior to the Examination

Working in a Safe Manner

• What Personal Protective Equipment (PPE) to use 

• How to keep yourself and others safe at a scene 

• How to manage a crime scene

Obtaining and Recording Data

• How information gathering informs the dynamic health and safety risk assessment.

• How information gathering informs crime scene management 

• How information gathering informs forensic assessment processes

Concepts, Principles and Theories

• Forensic Science Regulator Codes of Conduct and Practice

• ISO 17020 accreditation criteria

• Dynamic health and safety risk assessment 

• Locard’s Principle

• Crime Scene Management

• College of Policing Murder Investigation Manual

Find out more about Scene Management: Prior to the Examination

Quantitative Skills for Biomedical Science

Fundamental Numeracy

Concepts, Principles and Theories

• Working familiarity with terms such as decimal places, significant figures, precision, powers of 10, normalised scientific notation, reference ranges and more

• Applying this familiarity to answer a range of questions in biomedical contexts

Manipulating and Presenting Data

• Importance of portraying scientific values in different ways e.g to various precisions and in different notations

• Converting values between different representational formats

Interpreting and Analysing Data

• Making use of numerical data and text information from a biomedical experimental scenario

• Using the skills learned throughout the sheet to interpret and analyse this data

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Units and Formulae

Concepts, Principles and Theories

• Working familiarity with terms such as prefixes, expression, equations, formula, variable, constant, operation, inverse operation and more

• Applying this familiarity to answer a range of questions in biomedical contexts

Manipulating and Presenting Data

• Exploring how quantitative scientific problems can be represented via formulae and how they can be manipulated via various rearrangements

• Using units to portray scientific values in different ways, adjusting to the suitability of the context

Interpreting and Analysing Data

• Making use of numerical data and text information from a biomedical experimental scenario

• Using the skills learned throughout the sheet to interpret and analyse this data

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Data Visualisation and Analysis

Concepts, Principles and Theories

• Working familiarity with terms including different types of graph/visualisation, trendlines, mean, median, mode, range, standard deviation, scientific precision and accuracy, % CV and more

• Applying this familiarity to answer a range of questions in biomedical contexts

Manipulating and Presenting Data

• Exploring how scientific data can be represented in different ways e.g via text, tables and visualisations. How to make high-quality scientific graphs

• Finding fundamental statistics from biomedical datasets, and calculating scientific precision and accuracy

Interpreting and Analysing Data

• Making use of numerical data and text information from a biomedical lab scenario

• Using the skills learned throughout the sheet to interpret and analyse this data