Loading...
Market
In which type of tissues will the FindingNemo Toolkit enhance understanding of allele-specific expression by June 30, 2025?
2
Resolution / Starting Odds
Human tissues • 25%
Animal tissues • 25%
Plant tissues • 25%
Other • 25%
Scientific publications or research reports
Story
FindingNemo Toolkit Enhances Ultra-Long DNA Sequencing in a Single Day
Aug 19, 2024, 01:15 PM
A new toolkit named FindingNemo has been developed for DNA extraction, library preparation, and purification for ultra-long nanopore sequencing. The protocol, which is a result of a collaborative effort involving researchers from institutions such as DeepSeqNotts, can be adapted to work with as few as one million human cell equivalents or 5 micrograms of ultra-high molecular weight DNA. It allows for extraction to sequencing in a single working day. The toolkit is designed to produce high occupancy ultra-long reads on nanopore platforms, offering throughput comparable to disc-based methods and potential advantages for tissues and non-human cell materials. This development also aids in understanding allele-specific expression in single-nucleus RNA-seq data.
View original story
Similar markets
Neuroscience • 25%
Immunology • 25%
Cardiology • 25%
Other • 25%
Yes • 50%
No • 50%
Cancer Research • 25%
Neurological Disorders • 25%
Genetic Disorders • 25%
Other • 25%
Phylogenetic reconstruction • 25%
Taxonomic annotation • 25%
Evolutionary distance estimation • 25%
Other • 25%
Radiocarbon dating • 25%
DNA sequencing • 25%
Isotope analysis • 25%
Other • 25%
Museum specimens • 25%
Fossilized remains • 25%
Genetic material from related species • 25%
Other • 25%
Discovery of new regulatory mechanisms • 25%
Identification of new genome regions • 25%
New insights into evolutionary history • 25%
Other • 25%
Single-cell RNA sequencing • 25%
CRISPR technology • 25%
3D bioprinting • 25%
Other • 25%
Advanced Computing • 25%
Artificial Intelligence • 25%
Citizen Science Contributions • 25%
Other • 25%
Yes • 50%
No • 50%
Human gene editing • 25%
Animal models • 25%
Plant genomics • 25%
Microbial engineering • 25%