HomDNA

HomDNA

HomDNA is an open-source DNA browser and annotation tool for visualizing genomic datasets. It enables fast navigation and plotting of genome-wide data sets from high-throughput sequencing experiments.
dna genome-browser visualization genomics

HomDNA: Open-Source DNA Browser & Annotation Tool

An open-source DNA browser and annotation tool for visualizing genomic datasets, enabling fast navigation and plotting of genome-wide data sets from high-throughput sequencing experiments.

What is HomDNA?

HomDNA is an open-source DNA browser and annotation tool developed by researchers at Stanford University. It is designed for visualizing and exploring genomic datasets from high-throughput sequencing experiments such as RNA-seq, ChIP-seq, and DNase-seq.

Key features of HomDNA include:

  • Fast navigation and plotting of genome-wide data sets up to whole-genome scale
  • Support for common genome file formats like BED, BigWig, BigBed, GFF/GTF, VCF
  • Customizable genome tracks with control over data normalization and processing
  • Integration of public genome annotation data from sources like Ensembl and UCSC
  • Interactive scatter, density and histogram plots for data visualization
  • Capability to handle data from multiple experiments and conditions
  • Export publication-ready images
  • Open-source codebase built on JavaScript and other web technologies

By combining a powerful data visualization frontend with a high-performance computational backend, HomDNA enables researchers to explore big genomic data sets interactively. Its focus is to accelerate biological insight and discovery from high-throughput sequencing experiments.

HomDNA Features

Features

  1. Visualize genomic data
  2. Browse genomes and annotations
  3. Plot genome-wide datasets
  4. Zoom and pan genome views
  5. Customizable tracks and display options
  6. Support for common file formats (BAM, BED, GFF, etc)
  7. Share sessions and export images

Pricing

  • Open Source

Pros

Open source and free to use

Fast and responsive interface

Support for large datasets

Customizable and flexible

Active development and user community

Cons

Limited built-in analysis features

Steep learning curve

Requires installation and setup

Lacks some features of commercial tools

Official Links


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