Bionl No-Code Platform: Navigating Biological Datasets

Bionl No-Code Platform: Navigating Biological Datasets


Public genomic datasets are a treasure trove for biomedical researchers, offering a wealth of information that can drive groundbreaking discoveries. However, the sheer volume and complexity of these datasets, and the coding needed can be daunting. This blog aims to guide you through the intricacies of public genomic datasets and how to maximize their utility using no-code platform.

What are Public Genomic Datasets?

Public genomic datasets are collections of DNA sequences, gene expressions, and other biological markers that are freely accessible for research. These datasets are invaluable for anyone working in biomedical fields, where analyzing and extracting information from these datasets is an important step in biomedical research, a no-code platform like Bionl is offering scientists the space they need for such analysis.

Where to Find Public Datasets

Several specialized repositories offer datasets, including:

  • NCBI's Gene Expression Omnibus (GEO): A public repository for high-throughput gene expression data.
  • European Genome-phenome Archive (EGA): Stores personally identifiable genetic and phenotypic data resulting from biomedical research projects.
  • The Cancer Genome Atlas (TCGA): Provides comprehensive genomic datasets related to various types of cancer.
  • The Protein Data Bank (PDB): which contains structural data on proteins

Below is a video from Science Buddies showing how to navigate NCBI website.

Assessing the Quality of Public Genomic Datasets

Before you import data into no-code platform, you may want to assess the dataset's quality. Key factors to consider include:

  • Accuracy: Are the sequences and markers reliable and up-to-date?
  • Completeness: Are there gaps or missing values in the data?
  • Consistency: Is the data uniformly formatted?
  • Relevance: Does the dataset align with your specific research objectives?

Preparing and Utilizing Genomic Datasets for Analysis in Bionl

Once you've selected a genomic dataset, Bionl will allow you to upload it to the platform and prepare it for analysis. Here are some tips:

  • Identify and Remove Missing Values: Incomplete data can skew your analysis. Handle missing values by either eliminating them or imputing new values.
  • Correct Errors: Typos and inconsistencies must be corrected before analysis.
  • Format Compatibility: making sure the file is in the right format, supports multiple file formats; such as CSV, and Fasta.

After preparing your dataset, you can leverage Bionl no-code platform to:

  • Answer Research Questions: Use genomic datasets to explore various research questions, such as the genetic factors influencing a particular disease, through the literature review feature, which will allow you to get answers directly from the literature, with summaries for the findings.
  • Develop New Products and Services: Genomic datasets can inspire new healthcare solutions. With Bionl, you can easily analyze these datasets to develop innovative diagnostic tools or treatments.
  • Visualize your data: allows data visualisation in many forms; as heatmaps, scatter plots, and more.
  • Analyse the data: through Bionl you can perform statistical analysis on your data.


Public datasets are a goldmine for anyone keen to explore, learn, and innovate. By using a no-code platform like Bionl, you can easily upload and navigate these datasets to extract valuable insights for your biomedical research, without worrying about the hard coding tasks!

This blog was co-authored with ChatGPT.

Bionl | No-Code Biomedical Research Platform
Bionl is a no-code biomedical and bioinformatics research platform. Utilizing state-of-the-art GenAI models, it offers intuitive data analysis, visualization, and literature review.