Researchers have created a new circuit model that accounts for small changes to the sensor's behavior, allowing it to detect protein or DNA molecules from a sample. The device could lead to earlier diagnosis of diseases and more precise therapies tailored to each patient.
The BICAN Rapid Release Inventory provides early access to single-cell transcriptomic and epigenomic profiles from humans and other mammalian species. This open data release aims to accelerate discoveries in neuroscience by facilitating collaboration and data reuse among researchers.
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Researchers developed MUSCLE, a method that combines single-molecule fluorescence microscopy with next-generation sequencing to profile complex biological processes. The technique enables simultaneous observation of vast arrays of samples, uncovering general trends and dynamic signatures.
Researchers developed SPARXS, a parallel analysis technique that allows studying millions of DNA molecules simultaneously. This enables new insights into how structure and function depend on sequence, with potential applications in personalized medicine, nanotechnology, and genetic research.
Researchers have successfully designed transmembrane β-barrel pores with custom shapes and properties, enabling miniaturization of sensing and sequencing applications into portable devices. The design method uses computational tools to control the shape and chemistry on a molecular level, resulting in stable and quiet signal generation.
The GEMINI blood test uses machine learning to identify cancer-causing mutations in single molecules of cell-free DNA. The test detected over 90% of lung cancers, including stage I and II cases, in a proof-of-concept study published in Nature Genetics.
Researchers have completed and released a chromosome-scale genome sequence of the Aldabra giant tortoise, providing a much-needed genetic resource for rescue efforts. The data will aid in breeding efforts, comparative studies with other tortoise species, and understanding the species' remarkable size.
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Researchers at Rice University developed a new program called Variabel to accurately identify 'low-frequency' variants of the virus that causes COVID-19. By distinguishing true variants from sequencing errors, Variabel enables rapid characterization of within-host variation, which could aid in discovering future mutations.
A research group at Osaka University has developed a new tool for sequencing various types of RNA base modifications, including microRNA modifications. They successfully detected two types of chemical base modifications simultaneously using a single-molecule quantum sequencer.
A new sequencing technology will help scientists better understand the mechanisms of rare nucleotides thought to play an important role in the progression of some diseases. These modified nucleotides are crucial additions to the genetic code, but their detection is difficult and comes with high error rates.
Scientists have assembled a comprehensive map of Aedes aegypti mosquito DNA using long-read sequencing technology, providing a much more complete and accurate picture of gene elements. The new genome has already revealed critical clues into how the insects sense chemical cues and has identified 49 new genes involved in immune responses.
A high-quality wheat A genome sequence was generated by Chinese scientists using BAC-by-BAC sequencing and single molecule real-time whole-genome shotgun sequencing. The resulting genome sequence reveals the evolution model of Triticum urartu chromosomes, with four large chromosomal structure variations occurring during wheat evolution.
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A Northeastern research team has developed a method for loading DNA into sequencing wells, increasing efficiency by orders of magnitude. The technology uses nanopores to attract larger DNA segments, enabling the sequencing of longer molecules.
Scientists have assembled the gorilla genome using PacBio's long-read SMRT sequencing, achieving a 150-fold improvement over previous assemblies. The new assembly recovers nearly all missing sequence and provides additional euchromatic sequence, enabling researchers to study biological mechanisms and traits.
Researchers at the University of Melbourne have discovered a new method for DNA sequencing using graphene, a one-atom thick sheet of carbon. This technique promises to improve speed, throughput, reliability and accuracy while reducing costs compared to current methods.
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A 700,000 year old horse's genome has been sequenced, revealing major genomic changes over the last 700,000 years of evolution. The study provides unprecedented details on the genetic makeup of modern horses and sheds light on the origin of Przewalski's Horse population.
A new cost-effective genome assembly process has been developed by a collaboration between DOE/JGI, Pacific Biosciences, and the University of Washington. The HGAP method produces final assemblies with >99.999% accuracy using single molecule real-time DNA sequencing, eliminating the need for circular consensus sequencing.
Researchers have successfully sequenced the parrot genome using single molecule sequencing, allowing for a better understanding of the genetic mechanisms behind vocal learning. The breakthrough could lead to insights into speech development in humans and the study of cancer and brain functions.
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A new software package corrects errors in single-molecule sequencing, boosting accuracy to 99.9% and enabling complete genome assembly for large organisms like parrots. The hybrid error-correction approach combines the best of both '2nd-gen' and '3rd-gen' technologies to produce high-quality genome assemblies.
Researchers at RIKEN developed an automated sample preparation system for the HeliScope single molecule sequencer, reducing preparation time from 42 days to 8 days. The new system uses Cap Analysis of Gene Expression (CAGE) and yields reproducible results comparable to manual prep.