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International HapMap Consortium publishes scientific strategy

The International HapMap Consortium has outlined its policies for rapidly releasing human genetic variation data to researchers worldwide. The $120 million project aims to create a public resource map of common human genetic patterns, facilitating the discovery of genes associated with diseases and response to medicines.

GoPro HERO13 Black

GoPro HERO13 Black records stabilized 5.3K video for instrument deployments, field notes, and outreach, even in harsh weather and underwater conditions.

Rutgers scientists post a genetic road map to sources of disease

Researchers at Rutgers University have developed a genetic road map that identifies sources of disease by analyzing single nucleotide polymorphisms (SNPs). The map, which is the first of its kind, provides detailed information on gene interactions and will enable scientists to conduct large-scale genotyping with greater efficiency.

Mapping genes for schizophrenia in the South Pacific

A genetic study in Palau reveals distinct genetic factors contributing to schizophrenia in each of five families. The findings reinforce the complexity of schizophrenia and demonstrate the value of large extended pedigrees for gene mapping.

Physical map of mouse genome now available

A physical map of the mouse genome provides detailed organization and context to the draft sequence, aiding in gene discovery and understanding health and disease. This mapping effort also enables researchers to access specific regions of DNA for further study.

Meta Quest 3 512GB

Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.

Rutgers scientists mapping DNA links to complex diseases

A Rutgers computer research team is developing a genetic linkage map that may help scientists identify the DNA differences predisposing people to complex diseases. The map will analyze data from over 2,000 single nucleotide polymorphisms (SNPs) to track genes contributing to disease.

Ohio State genome map

The Ohio State genome map contains 66,000 genes, which is more than double the earlier estimates of 35,000 genes. The map provides annotations that explain the function of all genes, including tissue-specific genes that are active in some tissues but not others.

Computer generates comparative gene maps

A new method developed by Cornell researchers allows for fast comparison of genomes, tracing evolutionary paths and identifying genes. This enables practical applications in plant breeding, medicine, and disease research, with potential breakthroughs in disease resistance and nutritional value.

Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Cattle, human genomes contain many identical genes

The study reveals up to 149 conserved chromosome segments in humans and cattle, including four whole chromosomes with the same genes, despite a 60-million-year evolutionary gap. The comparative map will facilitate identification of genes controlling important traits in both species.

Dibblee Medal awarded to retired USGS scientist, Thomas A. Steven

Thomas A. Steven, a retired USGS research field geologist, received the 7th Annual Dibblee Medal for his outstanding contributions to field geology and geologic mapping. He was recognized for his work on complex volcanic structures, genesis of ore deposits, and landscape evolution.

First complete physical map of a higher plant genome

The first ever-established complete clone-based physical map of a plant genome is published for Arabidopsis thaliana. The map covers the entire nuclear genome and is assembled entirely on the basis of BAC clones, offering strongly increased resolution.

DJI Air 3 (RC-N2)

DJI Air 3 (RC-N2) captures 4K mapping passes and environmental surveys with dual cameras, long flight time, and omnidirectional obstacle sensing.

Computer Program For Quicker, More Detailed Mapping

Researchers at Stanford Human Genome Center developed a powerful new computer program called Mapper to map thousands of genetic markers simultaneously. This allows for high-resolution maps with better local area resolution and rapid rebuilding process.