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colon cancer (CRC) and its metastasis to distant organs. The goal is to identify microbial strain specific differences in CRC-associated strains using matched oral, normal and tumour samples and their
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hand, forest trees take decades to mature, meaning that the seedlings begin their growth in a different kind of environment compared to the one they face as adults. How will the current forest tree
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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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experimentalists and clinical partners to understand and model biological processes and disease phenotypes Supervise and mentor students, and assist other team members in experiment planning, data processing and
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graduation) in bioinformatics, biochemistry, biotechnology, or related field Experience in mass spectrometry-based data analysis Solid background in statistics and omics data processing Proficiency in R
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further information about the application process or a project coordinator’s work in general, please contact the Team Leader of the Project Coordination Support, Pauliina Hallikas, pauliina.hallikas
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measure or infer methane-related processes, fluxes, microbial composition, vegetation, and key environmental variables from different wetland types at a high temporal resolution. The comprehensive dataset
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is decoded through transcription, and how the defects in this process can be used as a basis for therapy. Currently, we are probing how the crosstalk between transcriptional kinases and other factors
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully