SILVA-to-NCBI mapping

DataONE2017-06-16 更新2024-06-26 收录

生物序列分类

标识符映射

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资源简介：

Contains a mapping of Genbank accession numbers to NCBI taxon ids and names. The accessions are those that are the reference sequences for SILVA clusters.

创建时间：

2017-06-16

The performance of model developed using motifs and dipeptide composition on main dataset.

生物序列分类

性能评估

MCC, Matthew’s correlation coefficient; AUC, area under the curve.

NIAID Data Ecosystem40

roa7n/maltaomics_dataset_small

生物序列分类

基因组学机器学习

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: seq dtype: string - name: labe

Hugging Face2023-09-11 更新40

Classification performances [evaluated as accuracy, precision, recall, F 1 , area under the curve (AUC) value of receiver operating characteristic (ROC) curve, and AUC value of precision-recall (PR) curve] using different feature encoding algorithms with optimal parameter settings f

生物序列分类

特征编码算法评估

Classification performances [evaluated as accuracy, precision, recall, F1, area under the curve (AUC) value of receiver operating characteristic (ROC) curve, and AUC value of precision-recall (PR) cur

NIAID Data Ecosystem20

Ensembl-Wikidata identifier mappings

生物信息学

标识符映射

BridgeDb identifier mapping database between Wikidata and Ensembl.

DataCite Commons2022-05-21 更新40

Comparative analysis for the classification performance on the test set and Petrakia sp. ITS2 sequence using nine profile-HMMs built up with CLUSTALW, DALIGN-TX and MAFFT algorithms with different training sets.

生物序列分类

系统发育分析

The classification results of our alignment-free models (Mfold and Nandy) when using an optimal cutoff are also provided. *Classification performance at optimal cutoff in every case (E-value).

NIAID Data Ecosystem30

SILVA-to-NCBI mapping

资源简介：

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