Yeast Cell Cycle Datasetspls
Clustering for the analysis of the genes organizes the patterns into groups by the similarity of the dataset and has been used for identifying the functions of the genes in the cluster and analyzing the functions of unknown genes. Since the genes usually belong to multiple functional families, fu...
This dynamic real-time process for detecting yeast cell contour and centre of the cell is illustrated in Fig. 7. The process unfolds with the utilization of YOLOv5 to train the FACE dataset, followed by employing the trained FACE model to detect yeast cells in the raw image. Subsequently, ...
mutant, transcription factor binding site (TFBS), and cell cycle gene expression data. We identified 17 cell cycle TFs, 12 of which are known cell cycle TFs, while the remaining five (Ash1, Rlm1, Ste12, Stp1, Tec1) are putative novel cell cycle TFs. For each cell cycle TF, ...
Many cell biological and biochemical mechanisms controlling the fundamental process of eukaryotic cell division have been identified; however, the temporal dynamics of biosynthetic processes during the cell division cycle are still elusive. Here, we show that key biosynthetic processes are temporally segrega...
Yeast cell cycle model/design principles [250]. Yeast model studies on eukaryotic cell growth (balanced cell growth) [53,108,117,261,262] Yeast breast cancer model (yeast with human mutations and increased cell proliferation) (uncontrolled growth) [263] Yeast expressing parasite genes and their ...
Using this approach, we identify a subset of high-confidence genetic interactions, which we use to refine a previously published mathematical model of the cell cycle. We also present a quantitative dataset of the growth rate of these mutants under six different media conditions in order to inform...
Swi6, which binds directly to Swi4 or In the model yeast Saccharomyces cerevisiae, the com mit- Mbp1, respectively (reviewed in [4]). There is consider- ment to a new round of cell division takes place towards the end of the G1 phase of the cell cycle, a process called START [.....
D6: ‘MIPS interactions’ dataset which is composed of those MIPS physical interactions (61) that have been inferred from small-scale experiments. D7: ‘de Lichtenberg’ dataset, which refers to those integrated interactions involved in the processes during the yeast cell cycle (62). ...
Oscillating gene expression is crucial for correct timing and progression through cell cycle. In Saccharomyces cerevisiae, G1 cyclins Cln1–3 are essential drivers of the cell cycle and have an important role for temporal fine-tuning. We measured time-re