
The ORCA_H1ESC_1M_predictor.sif contains the following: The scripts required to process, error check and predict in the GAME API format for 1M H1-ESC Hi-C model A .json file to return for help message requests All dependencies, scripts, model weights and hg38 ref genome required to run the ORCA model are downloaded into the container at build time How to run: apptainer run --nv --containall ORCA_H1ESC_1M_predictor.sif HOST PORT Notes: The container can be run using the --nv flag for GPU compatibility This version of the container can only predict for H1-ESC cells in homo_sapiens Each sequence prediction returns a matrix with each value representing a 4,000bp x 4,000bp interaction region. For example, for a 1Mbp input sequence the returned matrix will be 250x250 Additional information regarding ORCA can be found here: https://github.com/jzhoulab/orca Additional information regarding the API can be found here: https://github.com/de-Boer-Lab/Genomic-API-for-Model-Evaluation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
