In the Software Development Group at Genetwister, people with different backgrounds work together in the design, implementation and maintenance of software tools focused on genomics and breeding data management. We do not believe in isolated programming, each member of the group complements the rest of the team with their comprehensive knowledge and experience in different stages of the software development life cycle process. We count on  software engineers to design and build tools, bioinformaticians to give user-support to these tools, and  ICT experts to maintain the infrastructure in which these tools run.

In order to develop software applications in a sustainable way, tools with a performance that can scale linearly when there is an increase in the amount of data to process or visualize, we use a distributed computing approach. Particularly, we develop high performance data analysis programs by using technologies like Spark and Hadoop, combined with distributed databases like Cassandra.

Additionally, the Software Development Group maintain the on-premise hardware infrastructure in which all the tools and applications at Genetwister are executed by using Docker containers in an automated environment orchestrated using Rancher.

Our innovations

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. 2018 View project
Long Read Sequencing
Long Read Sequencing

Long Read Sequencing

Using the state-of-the-art technologies such as long read sequencing technologies, Genetwister is able to build high quality genome assemblies of novel species, and obtain long range genomic information such as haplotypes and structural variants.

14 Mar. 2018 View project
Marker discovery
Marker discovery

Marker discovery

Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding

28 May. 2018 View project
Experimental Design
Experimental Design

Experimental Design

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

1 Aug. 2018 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. 2018 View project
Genomic Selection
Genomic Selection

Genomic Selection

Genomic selection (GS) is an alternative to marker-assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.

14 Mar. 2018 View project
Lab automation
Lab automation

Lab automation

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

14 Mar. 2018 View project