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15 changes: 0 additions & 15 deletions README.md

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11 changes: 11 additions & 0 deletions operon_identification/README.md
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# Identification of Operon Structure in Clostridioides difficile

## Project Description

This project aims to identify and characterize the operon structures of Clostridioides difficile, a spore-forming, anaerobic pathogen responsible for severe gastrointestinal infections.
- Operons are clusters of co-transcribed genes regulated as a single unit, playing a crucial role in bacterial gene expression, adaptation, and survival.
- Understanding operon structures in C. difficile is essential for deciphering bacterial regulatory mechanisms, metabolic pathways, and potential drug resistance mechanisms.

- To achieve this, computational and RNA-Seq-based approaches will be employed to predict operons using transcriptomic data from C. difficile under various conditions.
- The study will integrate genomic annotations, expression profiles, and computational tools such as and COSMO to infer operon boundaries.
- The findings of this research could provide novel insights into bacterial gene regulation, antibiotic resistance, and potential therapeutic targets for controlling C. difficile infections.
22 changes: 22 additions & 0 deletions operon_identification/methods/method.md
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### **Methods Overview:**

1. **Data Collection:**
- Obtain *Clostridioides difficile* genome sequences and annotations (FASTA, GFF) from public databases.
- Acquire RNA-Seq datasets under different growth conditions.

2. **RNA-Seq Preprocessing:**
- Perform quality control (FastQC).
- Trim low-quality reads and adapters (Trimmomatic).
- Align reads to the reference genome (Bowtie2/Hisat2).

3. **Operon Prediction:**
- Use Rockhopper for transcription unit identification.
- Run COSMO to integrate gene co-expression patterns and predict operon structures.

4. **Validation & Analysis:**
- Compare predicted operons with known databases.
- Analyze differential gene expression to infer operon regulation.

5. **Interpretation & Reporting:**
- Identify operons linked to antibiotic resistance and metabolic pathways.
- Summarize findings and visualize operon structures.