In a two-color experiment (panel a in the figure) DNA from individuals of the same species or different tissue from a single individual (e.g., normal and diseased cells) is extracted and ...
In each type of cell, like a muscle cell or a skin cell, different genes are expressed (turned on) or silenced (turned off). If the cells that are turned on mutate, they could—depending on what role ...
A standard Internet protocol that checks errors made during email transmissions has now inspired a revolutionary method to transform DNA microarray analysis, a common technology used to understand ...
The field of DNA microarray data analysis is getting increasingly complicated as scientists develop new array technologies and analysis algorithms, yet accurate introductory information on the subject ...
BUFFALO, N.Y. -- A multidisciplinary team of pharmaceutics and computer-science researchers at the University at Buffalo, one of very few teams in the nation applying DNA microarray technology in ...
Comparative genomic hybridization (CGH) was developed to identify pathogenic DNA copy-number changes (e.g., duplications, deletions) on a genome-wide scale, and to map these changes to genomic ...
In the early 1990s, my colleagues and I at Stanford University began tinkering with an interesting weed, the small flowering mustard plant, Arabidopsis thaliana. We set out to study genes involved in ...
In 2005, two landmark papers describing novel cycle-array sequencing methods ushered in a new era in genetics. Known at the time as next-generation sequencing (NGS), these methods are now more ...
The human genome project was undertaken to determine the human DNA sequence and analyze variation among individuals. To make use of this information, tools were developed that could collect and ...
The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading their offerings and ...
STANFORD, Calif. - The revolution was not televised. In the fall of 1999, the Stanford Microarray Database booted up, and a level of computing power was suddenly available to the field of molecular ...