Timo Lassmann
Papers
1
Total Citations
27
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1
About
Timo Lassmann is a leading computational biologist whose research centers on gene expression analysis, transcriptomics, and the development of bioinformatics tools for high-throughput sequencing data. His major contributions include pioneering the adaptation of Cap Analysis of Gene Expression (CAGE) to single-molecule sequencing platforms, significantly simplifying and automating the workflow for preparing cDNA libraries. This work, detailed in his highly cited 2012 paper (27 citations), enabled more precise mapping of transcription start sites and quantification of promoter activity genome-wide. Lassmann's impact extends beyond CAGE, as he has developed algorithms for analyzing RNA-seq and ChIP-seq data, advancing our understanding of transcriptional regulation. His notable achievements include contributions to the FANTOM consortium, where his computational approaches helped unravel complex mammalian transcriptomes. With a career spanning both wet-lab and computational methods, Lassmann continues to shape how researchers decode gene regulatory networks, making his work essential for students and scientists studying transcriptomics, epigenetics, and functional genomics.
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