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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Published on: March 5, 2022

OmicSDK-Transcriptomics: A Web Platform for Transcriptomics Data Analysis.

Aurora Sucre^1,2, Maria Martinez², Alba Garin-Muga^1,2

¹Biodonostia Health Research Institute, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.

Studies in Health Technology and Informatics

|May 19, 2023

Summary

Omics sciences, particularly transcriptomics, have advanced significantly. OmicSDK-transcriptomics offers accessible tools for analyzing omics data, benefiting researchers without extensive programming skills.

Keywords:

Transcriptomics bioinformatics data analysis visual analytics

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

The rapid expansion of omics sciences, especially transcriptomics, necessitates advanced data analysis tools.
Existing transcriptomics analysis tools often require specialized programming expertise, limiting accessibility for many researchers.

Purpose of the Study:

To introduce omicSDK-transcriptomics, a module within the OmicSDK framework.
To provide a comprehensive and user-friendly solution for transcriptomics data analysis.

Main Methods:

Development of omicSDK, a versatile tool for omics data analysis.
Integration of pre-processing, annotation, and visualization functionalities within omicSDK-transcriptomics.
Provision of both a command-line interface and a web-based solution for broad accessibility.

Main Results:

OmicSDK-transcriptomics offers a unified platform for various stages of transcriptomics data analysis.
The tool caters to researchers with diverse technical backgrounds through its dual interface options.
Facilitates easier interpretation and utilization of complex transcriptomics datasets.

Conclusions:

OmicSDK-transcriptomics democratizes advanced transcriptomics data analysis.
The integrated approach simplifies the workflow for researchers in omics fields.
Enhances the utility of omics data for a wider scientific community.