Project #95  ·  Now Open  ·  AMR + Publication Track

Metagenomic Surveillance of Zoonotic Pathogens in Poultry

A flagship research initiative by BDG Lifesciences — detecting real threats in real data, building careers at the frontier of One Health surveillance and global public health.

Register Now View Payment Plan
95
Project Number
88+
Projects Published
15+
Years of Excellence
150+
Director Publications
The Global Imperative
Why Poultry Metagenomics Is a Global Priority

Zoonotic pathogens and antimicrobial resistance are two of the WHO's top 10 global health threats. Poultry is the world's primary reservoir — and shotgun metagenomics is now the gold-standard surveillance tool. Professionals trained in this domain are among the most in-demand globally.

Global Health Threat Severity Index
WHO priority areas — relative severity score
Career Sectors Requiring Metagenomics Skills
Industry demand distribution
Project Details
What You Will Do
1
Data Discovery & Metadata Harmonisation
Identify and curate publicly available shotgun metagenomic datasets from NCBI SRA derived from real poultry (Gallus gallus domesticus) samples, complete with metadata for stratified downstream analysis.
2
Quality Control & Host Read Removal
Apply trimming, adapter removal, and host genome decontamination to ensure only high-quality, analysis-ready microbial reads proceed — a critical step for accurate pathogen detection.
3
Taxonomic Profiling & Abundance Estimation
Use industry-standard tools for taxonomic classification to detect and quantify all microbial species present, with special focus on high-priority zoonotic pathogens across all samples.
4
Pathogen Confirmation via Mapping & Assembly
Validate all detections independently using reference-based read mapping and de novo assembly — the dual-confirmation approach used in peer-reviewed international publications.
5
Risk-Oriented Reporting & Scientific Interpretation
Translate findings into a structured, publication-style report with public health interpretation, stakeholder-ready figures, and a complete sample × pathogen detection matrix.

Click any row to expand pathogen details.

PathogenDiseasePrimary ReservoirPriority
Salmonella entericaSalmonellosis / TyphoidPoultry & EggsCritical
Salmonella enterica is the world's leading cause of foodborne illness, responsible for an estimated 93.8 million human cases annually. Poultry represents the primary transmission route to humans. This project targets serovar-level identification where sequencing depth and sample quality permit.
Campylobacter jejuniCampylobacteriosisPoultry Gut MicrobiomeCritical
Campylobacter jejuni is the leading bacterial cause of human gastroenteritis globally. Poultry has been identified as the primary source of human infection in multiple population-level studies. Its low infectious dose makes it a particularly challenging surveillance target in metagenomic pipelines.
Listeria monocytogenesListeriosisProcessed PoultryHigh
Listeria monocytogenes carries a high case fatality rate in vulnerable populations — immunocompromised individuals, the elderly, and pregnant women. Its persistence in cold-chain poultry processing environments makes it a highly relevant surveillance target.
AMR Gene ReservoirsResistance TransmissionAll Poultry SamplesAdvanced
Antimicrobial Resistance (AMR) genes in poultry microbiomes represent one of the most pressing One Health challenges globally. This module uses resistome profiling tools to identify and quantify AMR gene families directly from metagenomic data — a rare and highly sought-after skill set.
DeliverableDescriptionUse Case
Sample × Pathogen MatrixComplete cross-sample detection and abundance summary for all target pathogens CV & Portfolio
Publication-Ready FiguresHeatmaps, abundance plots, taxonomic bar charts, and AMR profiles formatted for journal submission Research Paper
Validated Detection ResultsPathogen detections confirmed via two independent computational approaches Scientific Credibility
Structured Scientific ReportPublication-style report with methods, results, interpretation, and public health commentary SOP / PhD Application
Pipeline DocumentationReproducible workflow documentation for all tools, parameters, and analytical decisions Industry / Jobs
Optional Advanced Module — Included in This Track
Antimicrobial Resistance (AMR) Surveillance

The WHO Global AMR Action Plan identifies antimicrobial resistance as one of the greatest threats to global health. This module adds full resistome profiling to the core pipeline — identifying, classifying, and quantifying AMR gene families directly from real poultry sequencing data.

Participants completing this module gain direct, hands-on experience that is rare, highly differentiated, and increasingly required across public health, food safety, regulatory science, and international research roles.

AMR Skills Demand by Sector
What You Gain
Skills & Competencies Built

Every phase of the project builds a distinct, portfolio-ready technical competency valued by employers and graduate programmes globally.

Shotgun Metagenomics Pipelines
End-to-end workflow from raw FASTQ to annotated pathogen profiles using real industry-standard tools
Pathogen Detection & Validation
Dual-method confirmation using taxonomic profiling plus independent read mapping and assembly
AMR Gene Profiling
Resistome analysis and interpretation — one of the fastest-growing domains in global health research
One Health Framework
Understanding animal-human-environment pathogen dynamics for public health decision-making
Scientific Writing
Publication-style report writing with stakeholder-appropriate language and risk interpretation
Data Visualisation
Producing publication-ready heatmaps, abundance charts, and AMR profiles from real genomic data
Who Should Join
Is This Project For You?

No prior metagenomics experience is required. All tools and methods are introduced as part of the structured project experience.

Life Science Graduates
BSc / MSc students seeking applied bioinformatics research experience for their CV and portfolio
PhD Applicants
Candidates building competitive SOP statements and research credentials for international programmes
Microbiology Researchers
Lab-trained scientists transitioning into computational metagenomics and bioinformatics
Food Safety Professionals
Practitioners in food testing, veterinary public health, or regulatory science seeking to upskill
Public Health Workers
Epidemiologists and surveillance scientists wanting genomics-based pathogen detection training
Biotechnology Professionals
Industry scientists wanting hands-on NGS and metagenomic pipeline experience
Fees & Payment Plan
Flexible 3-Stage Payment — AMR + Publication Track

The total program fee is split across three milestones so each payment is tied to tangible research progress. Each successive payment is smaller than the last — you never pay the full amount at once.

Total program fee
$1,800
USD · per participant
Track
AMR + Publication
premium tier
Duration
6 months
3 payment stages
Largest single payment
$900
Stage 1 · at registration
Payment distribution
Stage 1
$900
50% · at registration
Stage 2
$500
28% · month 3
Stage 3
$400
22% · month 5
Month-by-month view
Month 1
Onboarding
$900 due
Month 2
QC + Profiling
Month 3
Validation
$500 due
Month 4
AMR Analysis
Month 5
Report Writing
$400 due
Month 6
Publication
Stage 1 window
Stage 2 window
Stage 3 window
Stage-by-stage breakdown — click to expand
1
Stage 1 — Project Initiation & Data Setup $900 50% Expand
Due at registration · Covers months 1–2
OnboardingData QCHost Read RemovalTaxonomic Profiling
  • Welcome kit — software setup guide, reading list, and NCBI SRA dataset access instructions
  • Phase 1 — Data discovery and metadata harmonisation of real poultry metagenomic datasets
  • Phase 2 — Quality control, adapter trimming, and host read removal pipeline
  • Phase 3 — Taxonomic profiling and abundance estimation across all samples initiated
  • Weekly 1:1 Zoom sessions with assigned mentor (8 sessions over 2 months)
  • Fortnightly progress report submitted to guide for feedback
  • Access to dedicated project WhatsApp / Telegram support group
  • Session recordings provided after every Zoom session
Why 50% at this stage? The first payment secures your seat and activates the complete onboarding infrastructure — dataset curation, software environment setup, mentor allocation, and the first two months of intensive guided pipeline work. It reflects the significant upfront effort invested by the BDG team before analytical outputs are produced. This payment is non-refundable once onboarding has commenced.
2
Stage 2 — Pathogen Validation & AMR Analysis $500 28% Expand
Due at start of month 3 · Covers months 3–4
Pathogen ConfirmationRead MappingDe Novo AssemblyAMR Resistome Profiling
  • Phase 4 — Dual-method pathogen confirmation via reference-based read mapping (Salmonella, Campylobacter, Listeria)
  • De novo assembly and annotation of key metagenomic contigs
  • AMR resistome profiling — identification and quantification of antimicrobial resistance gene families
  • Draft sample × pathogen detection matrix
  • First set of publication-ready figures — heatmaps, taxonomic abundance plots, AMR profiles
  • Weekly 1:1 Zoom sessions with mentor (8 sessions over 2 months)
  • Mid-project scientific review and written feedback from guide
Why $500 at this stage? By month 3 you will have already seen real taxonomic profiles from real data — tangible evidence of the project progressing. This second payment, smaller than Stage 1, unlocks the advanced analytical modules that are the scientific core of this project. Paying after two months of active work means you commit only after directly experiencing the quality of mentorship.
3
Stage 3 — Report, Publication & Portfolio Delivery $400 22% Expand
Due at start of month 5 · Covers months 5–6
Scientific ReportPublication SubmissionCertificateLetter of Recommendation
  • Phase 5 — Full scientific report (methods, results, discussion, public health interpretation)
  • Final validated sample × pathogen detection matrix
  • Complete set of publication-ready figures suitable for journal submission
  • Manuscript preparation support and co-authored journal submission
  • Reproducible pipeline documentation for your professional portfolio
  • Official BDG Lifesciences certificate of completion
  • Personalised letter of recommendation from your guide
  • Portfolio review session — CV, SOP, and LinkedIn profile guidance
Why $400 — the smallest payment — at this stage? By this point you have four months of research behind you and can clearly see the scientific and professional value built. Keeping Stage 3 the smallest removes any hesitation at the finish line and ensures you complete the program and receive the career-defining deliverables: publication, certificate, and your letter of recommendation.
Payment summary
StageWhen to PayAmount (USD)% of TotalUnlocks
Stage 1
At registration$90050%Onboarding, data setup, 2 months mentorship
Stage 2
Start of month 3$50028%Pathogen validation, AMR module, draft figures
Stage 3
Start of month 5$40022%Report, publication, certificate, recommendation
TotalOver 6 months$1,800100%Complete AMR + Publication research project
Payment terms: Stage 1 ($900) is non-refundable once onboarding has commenced, as it covers dataset preparation, software setup, and mentor allocation. Stage 2 ($500) is due at the start of month 3 for participants in good standing. Stage 3 ($400) unlocks manuscript preparation, certificate issuance, and the letter of recommendation — these deliverables are released upon confirmation of Stage 3 payment. All fees are in USD and are non-transferable. For queries, contact [email protected]
Common Questions
Frequently Asked Questions
Shotgun metagenomics sequences all DNA present in a biological sample simultaneously — no culturing required. In this project, it allows detection of every microorganism in real poultry samples, including dangerous zoonotic pathogens at very low abundances. It is far more sensitive and comprehensive than traditional plate-based microbiology.
This is a real research project, not a pre-packaged training course. You will work on publicly available real-world sequencing datasets and produce genuine scientific outputs using the same pipelines applied in peer-reviewed international publications. There are no pre-computed answers.
No prior metagenomics or bioinformatics experience is required. The project is structured with guided mentorship at every phase. A basic background in life sciences is helpful, but all tools, software, and analytical methods will be introduced as part of the experience itself.
The project uses publicly available shotgun metagenomic datasets from NCBI SRA (Sequence Read Archive), derived from real poultry samples used in international research studies. There is no simulated or pre-processed data — your analytical decisions will genuinely affect your outputs.
Graduate admissions committees at leading international universities value demonstrated applied research experience in competitive domains. This project gives you a concrete technical credential in metagenomics and One Health surveillance — with real outputs you can reference directly in your Statement of Purpose and discuss in interviews.
Yes — the AMR resistome profiling module is fully included in the $1,800 AMR + Publication track. It adds resistome profiling to your core workflow, identifying antimicrobial resistance gene families in real poultry metagenomes. AMR surveillance is one of the most critically underfunded yet fastest-growing research areas in global health.
Yes. The 3-stage plan is designed for convenience and is not mandatory. If you prefer to pay the full $1,800 upfront at registration, please contact us at [email protected] and we will arrange a single-payment option for you.
Yes — both are included in the Stage 3 deliverables. Upon successful completion of all five project phases and submission of all assigned tasks, you will receive an official BDG Lifesciences certificate of completion and a personalised letter of recommendation from your guide.
Absolutely. Professionals in food safety testing, clinical microbiology, regulatory science, and veterinary public health will find this project directly relevant. Metagenomics is rapidly becoming the standard approach for surveillance and outbreak investigation in all these domains.
Unlike generic internship programmes, Project #95 is built around a real, unsolved research question — the detection and validation of zoonotic pathogens in real poultry metagenomic data. With 88+ internationally published projects and 15+ years of experience, BDG Lifesciences delivers scientific credibility backed by a proven track record.

Secure Your Place in Project #95

Seats are strictly limited to maintain mentorship quality. Register now to begin your research journey — Stage 1 starts upon registration.

Team for Current / Ongoing Research Projects
94.
In Silico Prioritization of TEAD-Targeted Degrader-Inspired Molecules for Malignant Pleural Mesothelioma Using Molecular Docking, ADMET Screening, Molecular Dynamics Simulation, and Binding Free-Energy Analysis
Ojasi Kawadkar, Fremont, CA, USA.
Sharvari Kulkarni, Chief Technical Officer, BDG Lifesciences, India.
Syed Asif Husain, BBR Pty Ltd & BDG Lifesciences, India.
93.
Integrative Single-Cell Transcriptomics and CRISPR-Cas9 Perturbation Modeling for Regulatory Network Mapping in the Tumour Microenvironment
Isabella Montemayor, Keystone School, San Antonio, USA.
Ayanjeet Chowdhury, BDG Lifesciences, India.
Syed Asif Husain, BBR Pty Ltd & BDG Lifesciences, India.
92.
Mapping Druggable RNA Landscapes: An End-to-End Pipeline from Transcriptomics to Therapeutic Targeting
Yana Joshi, Henry M. Jackson High School, WA, USA.
Sharvari Kulkarni, Chief Technical Officer, BDG Lifesciences, India.
Ayanjeet Chowdhury, Technical Officer, BDG Lifesciences, India.
91.
ImmunoSpatial Blueprint: Mapping Tumor-Immune Interactions in Triple-Negative Breast Cancer Using Spatial Transcriptomics
Dr Malu Sreekumar, Jawaharlal Institute of Post-graduate Medical Education and Research (JIPMER), Puducherry, India.
Tanmay Bandbe, Guru Nanak Khalsa College of Arts, Science & Commerce, Mumbai, India.
90.
Single-cell RNA-seq Analysis of Chemotherapy-Induced Transcriptomic Changes in Pancreatic Ductal Adenocarcinoma (PDAC)
Dr Ilham Mahgoub, Qatar University, Qatar.
Ritam Baruah, Ajanta Pharma Limited, Assam, India.
Aakash Deva Thirukonda Prakash, KTH Royal Institute of Technology, India.
88.
Computational Insights into Selective ERβ Agonists for Benign Prostatic Hyperplasia (BPH) Treatment | A Virtual Screening, Molecular Docking & Simulations Study
Shivani Tuli, University of Pittsburg, Pittsburgh, USA.
Rakshitha Prakash, Vellore Institute of Technology (VIT), India.
Chandrima Das Sinha, Techno India University, India.
Swapnaja Gulawani, Agharkar Research Institute, India.
Trần Thị Thư, Hồ Chí Minh, Vietnam.
87.
Decoding Pan-Cancer Pathogenesis: A Multi-Layered Analysis of Prognostic mRNAs, miRNAs, lncRNAs via Co-Expression Networks and PPINs
Ritam Baruah, Ajanta Pharma Limited, Assam, India.
Tanmay Bandbe, Guru Nanak Khalsa College of Arts, Science & Commerce, Mumbai, India.
86.
Unveiling Autoimmune Genes and Regulatory Elements in Head and Neck Squamous Cell Carcinoma through Advanced Machine Learning and Network-Based Analysis
Mathews Kennedy, Trivandrum, Kerala, India.
Angela Susan Anil, School of Biotechnology, Amrita Vishwa Vidyapeetham, Kerala.
Elham O Mahgoub, Alneelain University, Sudan.
85.
Molecular Modeling study of derivatives of Leaf Extracts of medicinal plant Solanum torvum and Serine/Threonine Kinase from Mycobacterium Tuberculosis
Tenzin Kalsang, Manipal Academy of Higher Education, India.
Elham O Mahgoub, Alneelain University, Sudan.
Laxmi C M, Teesside University, Middlesbrough, UK.
Ilham Said Salman, Beirut Arab University, Lebanon.
84.
Targeting Tumor Progression: Identifying Differentially Expressed Genes and Pathways in Pancreatic Ductal Adenocarcinoma using RNAseq
Kasturi Mukherjee, Kyvor Genomics Pvt. Ltd, Chennai, India.
83.
Next Generation Sequencing | Unraveling the Cancer Code: Gene Expression Profiling with RNAseq
Ilham Omer Mahgoub, Alneelain University, Sudan.
Arnav Kolluru, Liberty High School, Renton, WA, United States.
82.
NGS Data Analysis | Prediction of Multiple Myeloma Using RNASeq Data
Dolly Jagwani, Indian Institute of Science Education and Research, Pune (IISER-P), Maharashtra, India.
Mathews Kennedy, Cancer Biology and Therapeutics, Middlesex University, London, UK.
81.
NGS Data Analysis of Cancer Tissues | A Cancer Biology Study
Pooja Prakash Mankar, Shri Shivaji College of Arts, Commerce and Science, Akola, India.
Amit Kumar, ICMR, New Delhi, India.
Ilham Omer Mahgoub, Alneelain University, Sudan.