AI-Driven Forensic Microbiome Pipeline for Postmortem PMI

Generated from prompt:

Create a professional Master's level PowerPoint presentation titled "AI-Driven Forensic Microbiome Pipeline for Postmortem Analysis" for a 10-minute academic presentation. Slides with minimal text and clear headings. Include speaker notes for each slide. Slides: 1. Title Slide: Project Title, Name: Avanti Pandit, MSc Bioinformatics, Internship details 2. Introduction: forensic science overview, PMI importance, microbiome role 3. Aim: develop bioinformatics pipeline, integrate AI/ML 4. Objectives: dataset collection, preprocessing, taxonomic classification, ML-ready data 5. Problem Statement: limits of traditional methods, lack of biological integration, need AI 6. Methodology: stepwise workflow: SRA/ENA data → FASTQ → FastQC → Trimming (Trimmomatic/fastp) → Post-QC (FastQC + MultiQC) → Kraken2 classification 7. Tools Used: SRA Toolkit, FastQC, MultiQC, Trimmomatic/fastp, Kraken2, Galaxy 8. Data Processing: paired-end reads, cleaning/filtering, importance of quality 9. Kraken Classification: k-mer method, input FASTQ, output reports 10. Results: preprocessing & classification done, microbial abundance reports 11. Future Scope: feature matrix, ML models, PMI prediction 12. Significance: improved forensic accuracy, AI + bioinformatics integration 13. Conclusion: pipeline complete till classification, ready for ML 14. Thank You slide Design: minimal text, academic style, clean layout, subtle icons/visual cues. Also ensure each slide has concise but informative speaker notes explaining the points.

This MSc Bioinformatics internship project presents a scalable bioinformatics pipeline for postmortem microbiome analysis in forensics. It covers microbiome succession for PMI estimation, data processing from SRA, Kraken2 taxonomic classification, AI

March 19, 202611 slides

Slide 1 of 11

Slide 1 - Title Slide

AI-Driven Forensic Microbiome Pipeline for Postmortem Analysis

Avanti Pandit, MSc Bioinformatics | Internship Project Presentation

Slide 2 of 11

Slide 2 - Introduction: Microbiome in Forensics

Forensic biology: application of biological principles in investigation of criminal/civil cases.
Post-mortem interval (PMI) estimation is crucial for determining time of death.
Microbiome (the community of microorganisms) shows predictable succession patterns after death, serving as a biological clock.

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Photo by Warren Umoh on Unsplash

Slide 2 - Introduction: Microbiome in Forensics

Slide 3 of 11

Slide 3 - Aim: AI-Driven Pipeline Development

Develop a robust, scalable bioinformatics pipeline for processing microbial sequencing data.
Integrate AI and Machine Learning models to predict the post-mortem interval based on microbial succession.

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Photo by Leif Christoph Gottwald on Unsplash

Slide 3 - Aim: AI-Driven Pipeline Development

Slide 4 of 11

Slide 4 - Objectives: Systematic Pipeline Approach

Dataset collection from public SRA repositories.
Comprehensive data cleaning and preprocessing.
Accurate taxonomic classification.
Generation of ML-ready feature matrices.

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Photo by Toon Lambrechts on Unsplash

Slide 4 - Objectives: Systematic Pipeline Approach

Slide 5 of 11

Slide 5 - Problem Statement

Traditional forensic methods (entomology, histology) have limitations in accuracy.
Lack of integration of modern high-throughput biological data.
Urgent need for automated, data-driven AI models for forensic decision-making.

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Photo by Deng Xiang on Unsplash