New features, data, types of data and more
Spotiphy is a Python-based pipeline designed to enhance our understanding of biological tissues by integrating sequencing-based spatial transcriptomics data, scRNA-seq data, and high-resolution histological [...]
The Cancer Complexity Knowledge Portal (CCKP) aims to be the one-stop shop for discovering cancer-related research datasets hosted on various data and tool repositories, [...]
The POT library brings the power of optimal transport (OT) to Python, helping researchers compare and transform probability distributions efficiently. OT is a mathematical [...]
METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics Recent advances in spatial transcriptomics (ST) have improved insights into the tumor [...]
Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs This study highlights the RNA sequencing and whole exome sequencing data associated with the investigation of a [...]
Patient advocates bring essential perspectives to cancer research and are involved in several consortia associated with the MC2 Center. To support their efforts, as [...]
This study aims to compare the epigenomes of different patient-derived models of colorectal cancer (PDO (Patient-Derived Organoid), PDX (Patient-Derived Xenograft), and PDOX (Patient-Derived Orthotopic [...]
Cut&Tag sequencing data from melanoma cells revealed that BAHCC1, a gene associated with Super-Enhancers (SE) and critical for cancer growth, is highly active compared [...]
Updated and expanded resource management documentation has been added to the CCKP! This update adds several new sections: how to store your data in a [...]
The MC2 Center hosted two webinars in September 2023 to introduce the members of the MC2 Center Community to a new resource sharing workflow to enable storage, [...]
