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innovative analysis methods and approaches applied to multimodal Developmental GTEx data types from both bulk and single-cell tissue analyses. We have chosen to focus on the human dGTEx data, but a selected
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the model species, and explore their predictive potential for human toxicity assessment. This project fits overall within a larger overarching goal in our group of developing methods to relate genome
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projects that combine experimental and computational methods. The lab encourages wet lab scientists to engage in their own data analysis and provides a supportive environment to this end. The group is funded
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-Calabuig et al., Cell Stem Cell 2023 ). Recently, we have developed EPI-Clone, a unique method to identify and characterize expanded stem cell clones independently of driver mutations and during
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functional levels using shotgun sequencing data (not 16S data) You have first-hand experience writing paper(s) Experience with Nextflow You have proven experience applying statistical methods to large datasets