Key research themes
1. How can automated computational methods address challenges in physical chromosome segmentation and feature extraction for improved chromosome mapping?
This research area focuses on developing and refining automated image analysis algorithms to segment chromosomes and extract their features from microscopy images. Accurate segmentation is crucial for physical chromosome mapping, karyotyping, and identification of structural abnormalities. Challenges include overlapping chromosomes, varying staining methods, morphological variability, and imaging artifacts. Automated approaches aim to reduce observer variability, increase throughput, and improve diagnostic reliability in cytogenetics.
2. How do radiation hybrid and physical mapping techniques integrated with high-throughput marker technologies enhance the resolution of physical maps for complex chromosomes?
This research theme investigates the development and integration of radiation hybrid (RH) mapping, BAC-based physical mapping, and high-density marker genotyping (e.g., SNP arrays) to generate high-resolution physical maps of complex, large chromosomes like wheat chromosomes or human chromosome 5. These approaches overcome limitations such as recombination suppression in centromeric regions and genome complexity, enabling precise contig ordering and anchoring physical maps to genetic and cytogenetic frameworks critical for functional genomics and breeding.
3. What are the computational and methodological advances in visualization, representation, and analysis of three-dimensional chromatin conformation data for physical chromosome mapping?
This theme covers innovations in representing, visualizing, and analyzing chromatin spatial organization using 3D chromosome conformation data such as Hi-C and other chromosome capture technologies. It encompasses graph-based representations, new concordance scoring algorithms, visual analytics for chromosome territory analysis, and standardization approaches to mitigate mapping ambiguities. These advances enhance the interpretation of chromosomal spatial arrangement, informing physical maps beyond linear sequences and elucidating chromosome topology and interchromosomal interactions.