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UID:20260804T102906EDT-3129lNdVbI@132.216.98.100
DTSTAMP:20260804T142906Z
DESCRIPTION:In genomic research\, determining locations on the genome to\nw
 hich a transcription factor binds with medium to high affinity\nmight help
  identify possible transcription factor binding sites.\nHence\, interest l
 ies in developing models that predict the affinity\nof a transcription fac
 tor based on nucleotide sequence. Often\, data\nfrom in-vitro experiments 
 are used when building such models.\n \nOne such in-vitro experiment is a 
 systematic evolution of\nligands by exponential enrichment (SELEX) experim
 ent. In a SELEX\nexperiment one begins with a large random pool of DNA seq
 uences in\nequilibrium with a transcription factor. Sequences that had bon
 ded\nto the transcription factor are separated from the solution\,\namplif
 ied by polymerase chain reaction (PCR) and entered into the\nnext round of
  SELEX. This process continues for as many rounds as\nthe experimenter des
 ires. Thus far SELEX has been very good at\nsuggesting consensus sequences
  but making further inference from\nthem has been difficult.\n \nIn this t
 alk\, I will begin with a simple biochemical explanation\nof SELEX. I will
  then discuss our analysis of the SELEX data for\nthe transcription factor
  Bicoid focusing on our statistical\nmethodology and addressing issues in 
 the design of SELEX. Where\npossible\, I will show how our analysis of the
  SELEX data compares\nto our analysis of other experiments.\n \n \n
DTSTART:20081119T193000Z
DTEND:20081119T210000Z
LOCATION:McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y6\, 3655 pr
 omenade Sir William Osler
SUMMARY:Dr. Juli Atherton\, Using SELEX Data to Model the Affinity of DNA S
 equences to the Transcription Factor Bicoid
URL:/channels/event/dr-juli-atherton-using-selex-data-
 model-affinity-dna-sequences-transcription-factor-bicoid-102558
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