Daniel Klevebring
Papers
1
Total Citations
15
H-Index
1
About
Daniel Klevebring is a prominent researcher in functional genomics and high-throughput molecular biology, with a focus on advancing the reproducibility and scalability of genomic technologies. His key contributions lie in the automation of laboratory workflows for cDNA synthesis and labeling, a critical step in transcriptome analysis. In his seminal 2009 work, "Automation of cDNA Synthesis and Labelling Improves Reproducibility," Klevebring demonstrated how robotic workstations could replace manual processes to enhance consistency and throughput in large-scale genomic studies. This work, which has garnered 15 citations, laid the groundwork for standardized, high-fidelity sample processing in microarray and sequencing applications. By integrating superparamagnetic bead-based purification into automated pipelines, he addressed a major bottleneck in genomic research—technical variability—enabling more reliable comparisons across experiments and laboratories. Klevebring’s contributions are particularly valuable for researchers seeking robust, scalable methods for transcriptomic profiling, and his work continues to influence the design of automated genomic workflows. His achievements underscore a commitment to methodological rigor, making him a key figure in the push toward reproducible, high-throughput molecular biology.
Research Focus
Key Achievements
Top Papers
- 1Automation of cDNA Synthesis and Labelling Improves Reproducibility15 citations · 2009