Update README.md

README.md

@@ -56,6 +56,15 @@ This dataset is specifically designed to aid in training and evaluating genomic
 
 ## Dataset Structure
 
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+The structure of the dataset is explained visually in the following figure:
+
+![Dataset Structure](https://github.com/nbrg-ppcu/PhaStyle/blob/main/assets/figure01.jpg)
+
+*Figure 1: The dataset used in the ProkBERT PhaStyle study. Phage sequences from multiple independent data sources were segmented into 512bp and 1022bp fragments for training and testing models on phage lifestyle prediction. The dataset consists of the BACPHLIP training and validation sets, Escherichia phages (from the Guelin collection), and phages from extreme environments.*
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+
+
 - **ESCHERICHIA_SEQDB**: Contains 394 E. coli sequences from the Guelin collection and 100 additional temperate phages. Each sequence is labeled as either virulent or temperate.
 - **EXTREMOPHILE_SEQDB**: Contains 16 phages from extreme environments (e.g., deep-sea, acidic environments). These sequences are split into segments of 512bp and 1022bp for analysis.
 - **BACPHLIP_TRAINING_SEQDB**: The training set for BACPHLIP, consisting of 1868 sequences labeled for phage lifestyle classification.
@@ -77,3 +86,21 @@ The sequences in this dataset were gathered from various sources, including the
 ## Intended Uses
 
 This dataset is intended for use in phage lifestyle prediction tasks using genomic language models such as ProkBERT. The segmented sequences allow models to generalize well even with fragmented or out-of-sample data. It is particularly useful for applications in ecological and clinical settings where understanding phage behavior is critical.
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+# Citing this work
+
+If you use the data in this package, please cite:
+
+```bibtex
+@Article{ProkBERT2024,
+  author  = {Ligeti, Balázs and Szepesi-Nagy, István and Bodnár, Babett and Ligeti-Nagy, Noémi and Juhász, János},
+  journal = {Frontiers in Microbiology},
+  title   = {{ProkBERT} family: genomic language models for microbiome applications},
+  year    = {2024},
+  volume  = {14},
+  URL={https://www.frontiersin.org/articles/10.3389/fmicb.2023.1331233},       
+	DOI={10.3389/fmicb.2023.1331233},      
+	ISSN={1664-302X}
+}
+```
+