Research output per year
Research output per year
Personal profile
Biography
Dr. Timo Lassmann, B.Sc. Biotechnology (1999), MSc Bioinformatics (2001), PhD functional genomics (2006), Karolinska Institute Sweden, has a major interest in computational biology and genomics. During his PhD he published a series of innovative algorithms to analyze biological sequences. In 2006 he moved to RIKEN, Japan, where he transitioned into leadership roles in the international Functional ANnotation of The Mammalian Genome project. Between 2009 - 2012 he was a lead analyst in the ENCyclopedia Of DNA Elements (ENCODE) project. In 2014, he moved to Australia to lead the Precision Health program at the Telethon Kids Institute. His research focuses on the development of novel computational methods to analyze large-scale omics datasets, with a particular focus on functional genomics. His work has been instrumental in decoding the dynamics of genome activity, elucidating which sequences are activated across different contexts. These insights are driving breakthroughs in understanding the molecular causes of diseases and are instrumental in predicting disease progression and treatment outcomes.
Research interests
- Utilising artificial intelligence systems for autonomous research
- Developing novel symbolic frameworks generating highly accurate and interpretable models of patient health and disease states
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Coupling of response biomarkers between tumor and peripheral blood in patients undergoing chemoimmunotherapy
Chin, W. L., Cook, A. M., Chee, J., Principe, N., Hoang, T. S., Kidman, J., Hmon, K. P. W., Yeow, Y., Jones, M. E., Hou, R., Denisenko, E., McDonnell, A. M., Hon, C. C., Moody, J., Anderson, D., Yip, S., Cummins, M. M., Stockler, M. R., Kok, P. S. & Brown, C. & 10 others, , 21 Jan 2025, In: Cell Reports Medicine. 6, 1, p. 1-18 18 p., 101882.Research output: Contribution to journal › Article › peer-review
Open Access -
SampleExplorer: using language models to discover relevant transcriptome data
Chin, W. L. & Lassmann, T., 1 Jan 2025, In: Bioinformatics. 41, 1, 5 p., btae759.Research output: Contribution to journal › Article › peer-review
Open Access -
Single-cell data combined with phenotypes improves variant interpretation
Chapman, T. & Lassmann, T., Dec 2025, In: BMC Genomics. 26, 1, 16 p., 540.Research output: Contribution to journal › Article › peer-review
Open Access -
CRISPR-Cas9-generated PTCHD1 2489T>G stem cells recapitulate patient phenotype when undergoing neural induction
Farley, K. O., Forbes, C. A., Shaw, N. C., Kuzminski, E., Ward, M., Baynam, G., Lassmann, T. & Fear, V. S., 11 Jan 2024, In: Human Genetics and Genomics Advances. 5, 1, 100257.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Identifying SETBP1 haploinsufficiency molecular pathways to improve patient diagnosis using induced pluripotent stem cells and neural disease modelling
Shaw, N. C., Chen, K., Farley, K. O., Hedges, M., Forbes, C., Baynam, G., Lassmann, T. & Fear, V. S., Dec 2024, In: Molecular autism. 15, 16 p., 42.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Denisenko, E. (Creator), Guo, B. (Creator), Jones, M. (Creator), Hou, R. (Creator), De Kock, L. (Creator), Lassmann, T. (Creator), Poppe, D. (Contributor), Clement, O. (Creator), Simmons, R. (Creator), Lister, R. (Creator) & Forrest, A. (Creator), Gene Expression Omnibus (NCBI), 11 May 2020
DOI: 10.26182/ybd2-6755, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE141115
Dataset
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Transcription start site profiling of 15 anatomical regions of the Macaca mulatta central nervous system
Francescatto, M. (Creator), Lizio, M. (Creator), Philippens, I. (Creator), Bontrop, R. (Creator), Sakai, M. (Creator), Watanabe, S. (Creator), Itoh, M. (Creator), Hasegawa, A. (Creator), Lassmann, T. (Creator), Severin, J. (Creator), Harshbarger, J. (Creator), Abugessaisa, I. (Creator), Kasukawa, T. (Creator), Carninci, P. (Creator), Hayashizaki, Y. (Creator), Forrest, A. (Creator), Kawaji, H. (Creator), Rizzu, P. (Creator) & Heutink, P. (Creator), Scientific Data, 31 Oct 2017
DOI: 10.1038/sdata.2017.163, https://www.nature.com/articles/sdata2017163
Dataset
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Additional file 2 of Identifying SETBP1 haploinsufficiency molecular pathways to improve patient diagnosis using induced pluripotent stem cells and neural disease modelling
Shaw, N. C. (Creator), Chen, K. (Creator), Farley, K. O. (Creator), Hedges, M. (Creator), Forbes, C. (Creator), Baynam, G. (Creator), Lassmann, T. (Creator) & Fear, V. S. (Creator), Figshare, 1 Oct 2024
DOI: 10.6084/m9.figshare.27140535.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Identifying_SETBP1_haploinsufficiency_molecular_pathways_to_improve_patient_diagnosis_using_induced_pluripotent_stem_cells_and_neural_disease_modelling/27140535/1
Dataset
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Additional file 2 of Identifying SETBP1 haploinsufficiency molecular pathways to improve patient diagnosis using induced pluripotent stem cells and neural disease modelling
Shaw, N. C. (Creator), Chen, K. (Creator), Farley, K. O. (Creator), Hedges, M. (Creator), Forbes, C. (Creator), Baynam, G. (Creator), Lassmann, T. (Creator) & Fear, V. S. (Creator), Figshare, 1 Oct 2024
DOI: 10.6084/m9.figshare.27140535, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Identifying_SETBP1_haploinsufficiency_molecular_pathways_to_improve_patient_diagnosis_using_induced_pluripotent_stem_cells_and_neural_disease_modelling/27140535
Dataset
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Additional file 3 of Gene editing and cardiac disease modelling for the interpretation of genetic variants of uncertain significance in congenital heart disease
Fear, V. S. (Creator), Forbes, C. A. (Creator), Shaw, N. C. (Creator), Farley, K. O. (Creator), Mantegna, J. L. (Creator), Htun, J. P. (Creator), Syn, G. (Creator), Viola, H. (Creator), Cserne Szappanos, H. (Creator), Hool, L. (Creator), Ward, M. (Creator), Baynam, G. (Creator) & Lassmann, T. (Creator), Figshare, 14 Aug 2024
DOI: 10.6084/m9.figshare.26649507.v1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Gene_editing_and_cardiac_disease_modelling_for_the_interpretation_of_genetic_variants_of_uncertain_significance_in_congenital_heart_disease/26649507/1
Dataset
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SCRIPT, Single-cell CRISPR to Identify Pathogenesis and Treatment, in genetic diagnosis
Fear, V. (Investigator 01) & Lassmann, T. (Investigator 02)
1/11/24 → 31/10/27
Project: Research
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Timo Lassmann Perron People Artificial intelligence to discover treatments and accelerate diagnosis for children in WA.
Lassmann, T. (Investigator 01)
Stan Perron Charitable Foundation
1/01/22 → 21/12/26
Project: Research
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Identifying SETBP1 haploinsufficiency molecular pathways to improve patient diagnosis and treatment.
Fear, V. (Investigator 01), Lassmann, T. (Investigator 02) & Baynam, G. (Investigator 03)
1/02/22 → 31/01/23
Project: Research
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Treatments for those who have none (C3676)
Lassmann, T. (Investigator 01) & Fear, V. (Investigator 02)
1/01/22 → 31/12/22
Project: Research
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Functional genomics and neuronal disease modelling to facilitate rare disease diagnosis
Fear, V. (Investigator 01), Lassmann, T. (Investigator 02), Baynam, G. (Investigator 03) & Groza, T. (Investigator 04)
Department of Health (Western Australia)
1/10/21 → 30/09/23
Project: Research
Prizes
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