Search results
6 dni temu · A DNA model that unifies information across the molecular, systems, and genome scales could learn from large genomic regions to capture systems-wide interactions and enable the design of more-sophisticated biological functions.
27 lut 2024 · Evo is a long-context biological foundation model that generalizes across the fundamental languages of biology: DNA, RNA, and proteins. It is capable of both prediction tasks and generative design, from molecular to whole genome scale (over 650k tokens in length).
1 mar 2024 · Evo is a genomic foundation model that can predict and generate DNA sequences at the scale of individual molecules, chemical complexes, biological systems, and entire genomes. It was trained using hundreds of billions of DNA tokens from prokaryotic life.
27 lut 2024 · Abstract. The genome is a sequence that completely encodes the DNA, RNA, and proteins that orchestrate the function of a whole organism. Advances in machine learning combined with massive datasets of whole genomes could enable a biological foundation model that accelerates the mechanistic understanding and generative design of complex molecular ...
15 gru 2023 · Generally, the introduction of large DNA in host cells encompasses three critical steps: design-cloning-transfer. This review provides a comprehensive overview of the three key steps involved in large DNA transfer to advance the field of synthetic genomics and large DNA engineering.
3 wrz 2020 · This section summarizes the four applications of machine learning in DNA sequence data: DNA sequence alignment, classification, clustering, and pattern mining, and analyzes and discusses the corresponding biological application background and significance.
23 paź 2020 · This review aims to guide struggling researchers to process and analyze these large-scale genomic data to extract relevant information for improved downstream analyses.
