Not exact matches
Branscomb also sees lots of opportunities in «techniques that are transforming scientific methodology,
such as array technology, comparative
genomic approaches, proteomics, sequence analysis.»
Currently, we are exploring several environmental samples retrieved from allover the world - ranging from hydrothermal vents in Japan to hot springs in Yellowstone National Park and New Zealand — for the presence of novel archaeal (and bacterial) lineages using cultivation - independent
approaches,
such as metagenomics and single cell
genomics.
The program hence includes a variety of «Omics» techniques,
such as
genomics, proteomics, and lipidomics, as well as single - molecule
approaches and high - resolution 2D and 3D imaging and microscopy.
He studies rare disease mutations and common heritable traits and disorders,
such as fear - learning and autism, using mouse models as well as
genomic and bioinformatic
approaches.
At the Lab, researchers are incorporating experimental and computational
approaches to a wide range of evolutionary and ecological questions — mostly involving the application of
genomic techniques — to better understand how species and populations
such evolve through time.
We employ a wide variety of state - of - the - art technologies
such as in vivo optical imaging and high - throughput methods including cell - based screening,
genomics, and proteomics
approaches.
We use various
approaches including genetics,
genomics and cell biology to study gene functions in normal development and disease
such as cancer.
MELGEN will explore emergent new techniques, for example the Sanger Institute (GRL) and ServiceXS will explore new
approaches to
genomic data generation from
such samples and from fresh tumour and, critically, with other participant groups develop new statistical / bioinformatic
approaches to data analysis.
Here, we discuss and illustrate the strengths and weaknesses of
approaches for the annotation and classification of important elements of protein - coding genes, other
genomic elements
such as pseudogenes and the non-coding genome, comparative -
genomic approaches for inferring gene function, and new technologies for aiding genome annotation, as a practical guide for clinicians when considering pathogenic sequence variation.
To study
such effects, the Comparative Genomics group employs computational and evolutionary
approaches to analyze whole genome datasets for predicting
genomic, epigenetic and expression differences between individuals.