GeneLinea
Genomics Platform & NGS Pipeline
Role
Founder, Concept, Development
Problem
Many biologists became biologists because they love life sciences, not the computational side of things. They understand what they need to do analytically, but compiling foreign programs in Linux distributions with different Perl versions, etc. were problematic.
Solution
Ground-up UX development with background in life science domains to develop well-understood UIs for bioinformatics and other life science end users that target the domain expertise of biologists, not generic users. Let scientists do what they do best, and enable them through building the right software.
About GeneLinea
Built by biologists, for biologists
When I was in college, I worked at the Veterinary Research Institute alongside molecular biologists who were having a hard time running many bioinformatic programs needed to analyze their data. I streamlined their workflow by putting together a pipeline of useful programs.
Core Focus:
GeneLinea focuses on taking sequence data to biological insight, especially when the volume of data overwhelms paradigms for standard data analysis.
Extending the functionality and visual aspects of comparative genomics programs, while focusing on making the process iterative and easy to use for biologist end-users. For biologists with limited bioinformatics skills, GeneLinea provides an easy-to-use web-based interface that allows users to upload and compare GenBank files. The backend synchronizes many predefined views, options, and paradigms of the datasets entered.
How It Works
Comprehensive Genomics Pipeline
GeneLinea streamlines complex bioinformatics workflows by providing an intuitive interface for comparative genomics analysis. The platform handles everything from data upload to visualization of results.
Data Input
Upload and compare GenBank files with ease
Analysis Pipeline
Automated comparative genomics and sequence alignment
Visualization
Interactive visualizations of genomic data and insights
What It Outputs
GeneLinea visually presents users with an ever-growing selection of data output including core and pan genomic data, SNP data, intergenic link data, and cluster analysis.
Core Genomics Data
Analysis of conserved genomic regions across multiple species or strains
SNP Analysis
Single nucleotide polymorphism identification and visualization
Cluster Analysis
Phylogenetic relationships and genomic clustering visualization
How Does It Compare to Other Programs?
There are not many similar programs
This is not exactly apples to apples, nor apples to oranges. Every workflow may need different end results depending on what is being studied.
When GeneLinea (previously called cWGAP) was created, I tried to make it as broad as possible to answer as many questions as possible for researchers. They have enough decisions and work to do already - I was hoping this would take some time off the overall workflow.
Platform Impact
Research Institutions
Served globally
Data Processed
Petabytes of genomic sequence data
Human Genomes
Analyzed and processed
Cloud Platform
Accessible worldwide
Making Bioinformatics Accessible
GeneLinea democratized access to complex genomics analysis by providing a user-friendly web interface that eliminated the need for command-line expertise, enabling biologists to focus on discovery rather than technical implementation.
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