CROPaware is a web based tool developed by the Software Development Group at Genetwister that integrates different type of data formats and sources used by breeders to support their decisions in the new development of crop varieties. Sequence data, marker calling data, genotypes, and annotations are examples of data sources that the user can explore in CROPaware.

 

The platform also offers a set of data analysis features which allow users to compare reference genomes, search for genetic variances between group of samples, genome-wide association analysis and others.

Want to know more about this project?

Contact us for more details.

Other innovations

High-throughput sequencing and genotyping
High-throughput sequencing and genotyping

High-throughput sequencing and ...

With increasing sample numbers and marker panel sizes, it is valuable to increase the throughput of sequencing and genotyping procedures. Genetwister develops cost-effective methods and applies available methods for high-throughput genomics.

14 Mar. 2021 View project
High-throughput sequencing and genotyping
High-throughput sequencing and genotyping

High-throughput sequencing and ...

With increasing sample numbers and marker panel sizes, it is valuable to increase the throughput of sequencing and genotyping procedures. Genetwister develops cost-effective methods and applies available methods for allowing high-throughput genomics.

4 Feb. 2021 View project
Lab automation
Lab automation

Lab automation

With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.

14 Mar. 2021 View project
Haplotype discovery
Haplotype discovery

Haplotype discovery

Acceleration and cost reduction in plant breeding with improved genotype/phenotype relations, utilizing linked variants.

14 Mar. 2021 View project
Genomic Selection
Genomic Selection

Genomic Selection

Genomic selection (GS) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.

14 Mar. 2021 View project
Semantic Web
Semantic Web

Semantic Web

To interconnect different knowledge domains, we use different semantic web technologies.

14 Mar. 2021 View project
Experimental Design
Experimental Design

Experimental Design

Appropriate experimental design and data analysis of breeding trials are essential. Genetwister offers assistance in the experimental design, taking into account all practical considerations of the breeding program.

1 Mar. 2021 View project
Genotyping array design
Genotyping array design

Genotyping array design

Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.

14 Mar. 2021 View project