Thursday, October 28, 2004
University of California Berkeley
Date: Monday April 12
Place: Engineering 1, 2114
I discuss two probabilistic modeling problems arising in metazoan genomic analysis: identifying motifs and cis-regulatory modules (CRMs) from transcriptional regulatory DNA sequences, and inferring haplotypes from genotypes of single nucleotide polymorphisms. Motif and CRM identification is important for understanding the gene regulatory network underlying metazoan development and functioning. I discuss a modular Bayesian model that captures rich structural characteristics of the transcriptional regulatory sequences and supports a variety of tasks such as learning motif representations, model-based motif and CRM prediction, and de novo motif detection. Haplotype inference is essential for the understanding of genetic variation within and among populations, with important applications to the genetic analysis of disease propensities and other complex traits. I discuss a Bayesian model based on a prior constructed from a Chinese restaurant process -- a nonparametric prior which provides control over the size of the unknown pool of population haplotypes, and on a likelihood that allows statistical errors in the haplotype/genotype relationship. Our models use the 'probabilistic graphical model' formalism, a formalism that exploits the conjoined talents of graph theory and probability theory to build complex models out of simpler pieces. I discuss the mathematical underpinnings for the models, how they formally incorporate biological prior knowledge about the data, and the related computational issues.
Eric Xing received his B.S. with honors in Physics and Biology from Tsinghua University, his Ph.D. in Molecular Biology and Biochemistry "
Friday, October 22, 2004
decided to begin supporting biomedical research, he convened experts from six of the country's top medical institutions to suggest the most effective way he could help. Together, the institutions - including the University of Michigan - identified a problem in research funding: because so many scientists are competing for limited grant dollars, most grants go to 'safe' research projects, where success is almost certain. Researchers who come with creative ideas and new ways of thinking often have trouble finding support.
So Wilson established his Ralph C. Wilson Sr. and Ralph C. Wilson Jr. Medical Foundation with a mission of funding innovative research by the nation's top biomedical scientists.
Though they have only been in existence since 2001, Wilson Foundation grants carry enormous weight and prestige. Only six institutions are even eligible to apply, with the U-M among this select group. What's more, only the top researchers and most creative projects at those institutions pass the rigorous peer review process. At each institution, only one to three projects receive funding annually.
One of the U-M's four researchers receiving funding is Dr. Daniel Goldman, a professor of biological chemistry and senior research professor, who is 'almost bursting' with excitement over his Wilson-funded research. Dr. Daniel Goldman works with zebrafish in his lab.Dr. Goldman explores new ways of repairing damage to the central nervous system, such as from strokes or spinal cord injuries. Fish, unlike humans, can recover from similar injuries and regenerate their nervous systems. Studying a lab full of zebrafish, Dr. Goldman hopes he is on the trail of information that could revolutionize treatments for stroke, pa"
Wednesday, October 13, 2004
Monday, October 11, 2004
Opponents of ID, who include the overwhelming majority of the scientific community, claim that this argument is deceptive and has no standing as a scientific hypothesis, i.e. it is considered pseudoscience. They say that ID does not present falsifiable hypotheses, and violates the principle of naturalism within scientific philosophy. They also point to examples of seemingly poor design within biology."
Sunday, October 10, 2004
Symbiosis - Wikipedia:
Editing Talk:Quantum consciousness - Edit this page - Wikipedia, the free encyclopedia
About Wikimedia - Wikimedia Foundation
Saturday, October 09, 2004
- EVOLUTION: Change in the genetic composition of a population during successive generations, as a result of natural selection acting on the genetic variation among individuals, and resulting in the development of new species.
- PHYLOGENY: a theory that the various types of animals and plants have their origin in other preexisting types and that the distinguishable differences are due to modifications in successive generations.
- DEVELOPMENT: The natural progression from a previous, simpler, or embryonic stage to a later, more complex, or adult stage ; gradual advancement or growth through a series of progressive changes; the doctrine that animals and plants possess the power of passing by slow and successive stages from a lower to a higher state of organization.
- DNA CONSIOUSNESS THEORY
Several features of human consciousness persistently elude scientific explanation.
- Consciousness represents the most advanced natural process of the Earth.
- The DNA Spiral represents the evolution of consciousness. The single level of consciousness of this Earth is called evolution, and the growth of life.
- The Helix of DNA is the record of the evolution cycle for the creation of man.
- Consciousness is all connected.
- We share this conscious form with creation.
- As my consciousness evolves, this is represented in my DNA.
- The DNA in my body can be controlled by my thoughts.
- My thought can change my DNA.
- Evolution I’ve created will appear in all the new babies born.
- Creation has evolved to bring me to know this.
- The Knowing this is Creating it.
The test is to take a picture of my DNA now, determine some neat fix for some disease not in there yet, and explain it to me!
- Take general sample, define existing DNA standards
- Identify a measurable change
- Create a graphic representation
- Learn the change
- Take new general sample.... verify changes.
Identify the changes done already and check the children who all have it and your own DNA that doesn’t have it.
- Take sample of DNA
- Compare to peers sample
- Compare the children’s samples.... current sample will more closely match children’s instead of peers