ai:
Data set to predict autophagy induction in Podospora anserina
Description
This data set consists of all data files necessary to predict the putative
interactions of the induction step of autophagy in Podospora anserina
by means of the corresponding PPIs in human and yeast.
Value
Four data frames and two named character vectors (see above).
Format
human.ai.irefindex: Data frames with 1694 observations of 54 variables.
yeast.ai.irefindex: Data frames with 3840 observations of 54 variables.
pa2human.ai.homologs: Data frames with 261 observations of 12 variables.
pa2yeast.ai.homologs: Data frames with 98 observations of 12 variables.
human.ai.proteins: Named character vector with 5 elements.
yeast.ai.proteins: Named character vector with 7 elements.Details
Data frames human.ai.irefindex and yeast.ai.irefindex
consists of all relevant interactions of the corresponding iRefIndex
files. The two data frames pa2human.ai.homologs and
pa2yeast.ai.homologs are the necessary parts of the result files
from the BLAST searches of the P. anserina proteom against the
proteoms of human and yeast. The named character vectors
human.ai.proteins and yeast.ai.proteins consists of the
proteins involved in the induction process of autophagy in human and
yeast.
References
Camacho, C. et al. (2009). BLAST+: architecture and applications. BMC
Bioinformatics, 10(1), 421.Razick, S. et al. (2008). iRefIndex: a consolidated protein interaction
database with provenance. BMC Bioinformatics, 9(1), 405.