Nora Pierstorff

Background

• 10/1998 - 11/2003 study of Bioinformatics at University of Tübingen, Germany.
  Diploma in Computer Science (Bioinformatics)
  Thesis: Experimental study of Comparative Gene Finding Methods
• since 01/2004 PhD student and research assistant at the Department Population Genetics and Bioinformatics, University of Cologne, Germany

Research Interest

• Prediction of cis-regulatory Modules
• Conservation of transcription factor binding sites

Publications

• Bernhard Haubold, Nora Pierstorff, Friedrich Möller, Thomas Wiehe
  Genome comparison without alignment using shortest unique substrings
  BMC Bioinformatics 2005, 5:123

• Nora Pierstorff, Casey M. Bergman, Thomas Wiehe
  Identifying cis-regulatory modules by combining comparative and compositional analysis of DNA
  Bioinformatics (in press)

Presentations

(pdf)

Rapid detection of shortest unique substrings and its application to enhancer analysis
BCB Lecture, Institute of Molecular Biology and Bioinformatics 24.11.2005

(ppt)

Combined ab initio and compararive analysis of putative regulatory regions
Otto Warburg International Summer School and Workshop 2005 on Networks and Regulation, Berlin, 26.08.2005-04.09.2005

Posters

• (ppt)
  
  N. Pierstorff, B. Haubold, T. Wiehe
  Analysis of gene regulatory regions by means of DNA composition
  ECCB/ISCB 2005 Glasgow, Scotland

• (ppt)
  
  N. Pierstorff, R. Nunes da Fonseca, T. Wiehe
  Localising regulatory elements using statistical analysis and shortest unique substring of DNA
  ECCB 2006 Madrid, Spain

CisPlusFinder

flowchart

Overview of CisPlusFinder (flowchart)


DOWNLOAD

README

Download of the program CisPlusFinder
a C-Program to predict CRMs based on conservation and overrepresentation

set of homologous sequences
CRM annotation of D. melanogaster sequences
TFBS annotation of D. melanogaster sequences
Coordinates of the D. melanogaster sequences in the genome

Download of the hexdiff sequences and homologous sequences from D. simulans, D. yakuba, D. erecta, D. ananassae, D. pseudoobscura, D. virilis and D. mojavensis




BED files with predictions of compared methods of all hexdiff sequences for upload into UCSC