TRUNCATULIX--a data warehouse for the legume community
Kolja Henckel1, Kai J Runte, Thomas Bekel
1Bioinformatics Resource Facility, Center for Biotechnology, Bielefeld University, Bielefeld, Germany. khenckel@cebitec.uni-bielefeld.de
BMC Plant Biology
|February 13, 2009
Summary
TRUNCATULIX is a new data warehouse integrating Medicago truncatula gene sequence, annotation, and expression data. This resource provides researchers with unprecedented data access and mining capabilities for legume research.
Area of Science:
- Plant Biology
- Bioinformatics
- Genomics
Background:
- Centralized databases are crucial for research, but integrating diverse data sources remains a challenge.
- Existing genetic databases lack a unified platform for the model legume Medicago truncatula.
- A single data warehouse is needed to combine gene sequences, expression data, and annotations for Medicago truncatula.
Purpose of the Study:
- To develop TRUNCATULIX, an integrative data warehouse for Medicago truncatula.
- To consolidate disparate gene sequence, annotation, and microarray expression data into a single resource.
- To enhance data accessibility and mining capabilities for the legume research community.
Main Methods:
- Integrated five public databases for gene sequences and annotations.
- Incorporated a microarray expression database including raw, normalized, and profiling data.
- Developed an AJAX-based web interface for user-friendly access via standard web browsers.
Main Results:
- TRUNCATULIX successfully integrates diverse Medicago truncatula datasets.
- Provides high-quality annotations for efficient gene and expression data searching.
- Enables data export in multiple formats (Excel, HTML, CSV) for further analysis.
Conclusions:
- TRUNCATULIX offers novel data integration and mining capabilities for Medicago truncatula research.
- This resource significantly enhances data accessibility for the legume scientific community.
- TRUNCATULIX is freely available online, fostering collaborative research.
More Related Videos
10:41Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms
Published on: May 9, 2017
07:32Protocols for Obtaining Zygotic and Somatic Embryos for Studying the Regulation of Early Embryo Development in the Model Legume Medicago truncatula
Published on: June 9, 2015
Related Concept Videos
02:16Light Acquisition
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
01:09Truncation in Survival Analysis
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.
01:59Plant Breeding and Biotechnology
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
03:36Genome Annotation and Assembly
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
01:24Data Reporting and Recording
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...