Image Credit: Sera Thornton and Laurie Boyer
Research in Regulatory Genomics, Epigenomics, and Proteomics at MIT deciphers the connections between the genetic blueprint and the resulting transcriptome and proteome, and between genome architecture and stably inherited phenotypes. Research groups utilize a wide range of methodologies, including machine learning, precision measurement, mathematical modeling, and network analysis.
A computational analysis reveals that many repetitive sequences are shared across proteins and are similar in species from bacteria to humans.
MIT researchers used a technique called dot-plot matrix, which is a way to visually represent amino acid sequences, to compare protein sequences known as “low-complexity regions” across many different species.