Ingo Bulla

According to our database, Ingo Bulla authored at least 9 papers between 2006 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Notos - a galaxy tool to analyze CpN observed expected ratios for inferring DNA methylation types.

Ingo Bulla, Benoît Aliaga, Virginia Lacal, Jan Bulla, Christoph Grunau, Cristian Chaparro

BMC Bioinform., 2018

2016

Numerical optimal control for HIV prevention with dynamic budget allocation.

Dmitry Gromov, Ingo Bulla, Ethan O. Romero-Severson, Oana-Silvia Serea

CoRR, 2016

2014

A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection.

Ingo Bulla, Anne-Kathrin Schultz, Christophe Chesneau, Tanya Mark, Florin Serea

BMC Bioinform., 2014

2012

jpHMM: recombination analysis in viruses with circular genomes such as the hepatitis B virus.

Anne-Kathrin Schultz, Ingo Bulla, Mariama Abdou-Chekaraou, Emmanuel Gordien, Burkhard Morgenstern, Fabien Zoulim, Paul Dény, Mario Stanke

Nucleic Acids Res., 2012

2011

Detection of viral sequence fragments of HIV-1 subfamilies yet unknown.

Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, Burkhard Morgenstern, Mario Stanke, Ingo Bulla

BMC Bioinform., 2011

2010

hsmm - An R package for analyzing hidden semi-Markov models.

Jan Bulla, Ingo Bulla, Oleg Nenadic

Comput. Stat. Data Anal., 2010

HIV classification using the coalescent theory.

Ingo Bulla, Anne-Kathrin Schultz, Fabian Schreiber, Ming Zhang, Thomas Leitner, Bette T. Korber, Burkhard Morgenstern, Mario Stanke

Bioinform., 2010

2009

jpHMM: Improving the reliability of recombination prediction in HIV-1.

Anne-Kathrin Schultz, Ming Zhang, Ingo Bulla, Thomas Leitner, Bette T. Korber, Burkhard Morgenstern, Mario Stanke

Nucleic Acids Res., 2009

2006

Stylized facts of financial time series and hidden semi-Markov models.

Jan Bulla, Ingo Bulla

Comput. Stat. Data Anal., 2006