Datasets for preprint ( ) entitled: "Computational structural genomics unravels common folds and predicted functions in the secretome of fungal phytopathogen Magnaporthe oryzae" The data contains: - Annotations.zip: Genome annotations generated for the 248 genome assemblies for the Magnaporthales species from the NCBI. This data was used for structure prediction. - Structure_prediction.zip: Multiple sequence alignment and structures generated for 1854 secreted proteins by I-TASSER and TrRosetta. The name of the file, MGG_000230T0.TrRosetta.0.78.pdb, for instance, contains: the protein name, prediction method and expected precision. - Network_analyses.zip: The data used for network analyses. Unfiltered and filtered homology search resu...
These datasets are related to 'The pan-genome of Saccharomyces cerevisiae' (Li G., Ji B., and Nielse...
AbstractAccurate cDNA data is useful to validate gene structures in a genome. We sequenced 35189 exp...
Motivation: The availability of genome-scale data has enabled an abundance of novel analysis techniq...
Datasets for: "Computational structural genomics unravels common folds and predicted functions in t...
Structural biology has the potential to illuminate the evolution of pathogen effectors and their com...
Datasets for: "Comparative computational structural genomics highlights divergent evolution of fung...
Dataset A - Alphafold2 prediction output data for 753 secreted proteins of Rhizophagus irregularis D...
Background: Large-scale computational prediction of protein structures represents a cost-effective a...
<p>The pipeline is composed of six major steps delimited by boxes. Step 1 (Secretome prediction) ide...
This link contains the entire dataset of our comparative genome analysis of 128 Phytophthora isolate...
In this era of whole genome sequencing, reliable genome annotations ( identification of functional r...
GEMO is a project of comparative fungal genomics focusing on related species and sub-species from th...
Supplemental dataset for the preprint "Automated genome mining predicts combinatorial diversity and ...
Our ability to predict gene function for newly sequenced fungal genomes is based to a large extent o...
New microbial genomes are sequenced at a high pace, allowing insight into the genetics of not only c...
These datasets are related to 'The pan-genome of Saccharomyces cerevisiae' (Li G., Ji B., and Nielse...
AbstractAccurate cDNA data is useful to validate gene structures in a genome. We sequenced 35189 exp...
Motivation: The availability of genome-scale data has enabled an abundance of novel analysis techniq...
Datasets for: "Computational structural genomics unravels common folds and predicted functions in t...
Structural biology has the potential to illuminate the evolution of pathogen effectors and their com...
Datasets for: "Comparative computational structural genomics highlights divergent evolution of fung...
Dataset A - Alphafold2 prediction output data for 753 secreted proteins of Rhizophagus irregularis D...
Background: Large-scale computational prediction of protein structures represents a cost-effective a...
<p>The pipeline is composed of six major steps delimited by boxes. Step 1 (Secretome prediction) ide...
This link contains the entire dataset of our comparative genome analysis of 128 Phytophthora isolate...
In this era of whole genome sequencing, reliable genome annotations ( identification of functional r...
GEMO is a project of comparative fungal genomics focusing on related species and sub-species from th...
Supplemental dataset for the preprint "Automated genome mining predicts combinatorial diversity and ...
Our ability to predict gene function for newly sequenced fungal genomes is based to a large extent o...
New microbial genomes are sequenced at a high pace, allowing insight into the genetics of not only c...
These datasets are related to 'The pan-genome of Saccharomyces cerevisiae' (Li G., Ji B., and Nielse...
AbstractAccurate cDNA data is useful to validate gene structures in a genome. We sequenced 35189 exp...
Motivation: The availability of genome-scale data has enabled an abundance of novel analysis techniq...