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Comparison of processing times and memory usage of STR-calling software.

NIAID Data Ecosystem2026-05-01 收录

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https://figshare.com/articles/dataset/Comparison_of_processing_times_and_memory_usage_of_STR-calling_software_/25519145 数据链接链接失效反馈

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资源简介：

Comparison of processing times and memory usage of STR-calling software.

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创建时间：

2024-04-01

RNA-seq定量

生物信息学性能基准

Runtime metrics data of 7 different RNA-seq workflows on 6 instance types of Amazon Web Service Elastic Compute Cloud. The workflow descriptions in Common Workflow Language are available on GitHub (ht

Figshare2019-03-05 更新70

Classification performance by the trained classifier on the training and an independent test set.

蛋白质分类评估

生物信息学性能基准

TP = true positive; TN = true negative; FP = false positive; FN = false negative; N = total number of proteins in dataset; SEN = TP/(TP+FN); SP = TN/(TN+FP); ACC = (TP+TN)/N; MCC = (TPxTN-FPxFN)/√((TP

Figshare2015-12-02 更新50

Performance comparison with WSHPackage using multiple threads for 20M RRBS-simulated reads.

DNA甲基化分析

生物信息学性能基准

Performance comparison with WSHPackage using multiple threads for 20M RRBS-simulated reads.

Figshare2023-03-20 更新30

Additional file 10 of Minos: variant adjudication and joint genotyping of cohorts of bacterial genomes

基因组变异检测

生物信息学性能基准

Additional file 10 Supplementary Table S9. Joint genotyping Minos memory usage and run times. Values were taken from the LSF reports for each Nextflow task (“Max Memory” and “Run time”). The first thr

NIAID Data Ecosystem60

Wall clock runtimes for each ASA3P version utilizing different hardware infrastructures and benchmark dataset sizes.

生物信息学性能基准

微生物基因组分析计算效率

Provided are best-of-three wall clock runtimes for complete ASA3P executions analyzing Listeria monocytogenes benchmark datasets comprising 32 and 1,024 isolates given in hh:mm:ss format. Docker: a si

Figshare2020-03-05 更新30

Comparison of processing times and memory usage of STR-calling software.

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