Publication date
April 2021
DOIAbstract
This is a mock dataset for a variant calling exercise (https://github.com/manutamminen/teaching_materials/blob/master/variant_calling_pipeline.org)
This is a mock dataset for a variant calling exercise (https://github.com/manutamminen/teaching_materials/blob/master/variant_calling_pipeline.org)
When testing software artifacts that have several dependencies, one has the possibility of either in...
Contains fulltext : 170067.pdf (publisher's version ) (Open Access
<p>Overview of the parameters investigated for the variant calling pipeline with GLM.</p
These are scripts we used for SNP variant calling. The locuslist provides a list of specific SNPs wh...
These are the variant calls made by Mutect2, Strelka2 and FreeBayes both in tumour normal pairwise a...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
Synbols: Probing Learning Algorithms with Synthetic Datasets Benchmark datasets generated using the...
Variant datasets: empirical study on focal methods in DL-based approaches for assertion generatio
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
CollembolaAI's Community Dataset Pictures of a mock community of 12 species of soil arthropods This ...
raw data of Mock Samples sequenced on the Illumina MiSeq Plattform. Split by Mock Sample Pool, Prime...
Overview of the methods used to simulate genotypes using the software msprime and phenotypes using t...
This artifact includes the datasets used for Learning Realistic Mutations: Bug Creation for Neural B...
"Mocking" is a technique used in unit-testing that replace external dependencies with "fake" objects...
The data provided here are part of a Galaxy Training Network tutorial that demonstrates identificati...
When testing software artifacts that have several dependencies, one has the possibility of either in...
Contains fulltext : 170067.pdf (publisher's version ) (Open Access
<p>Overview of the parameters investigated for the variant calling pipeline with GLM.</p
These are scripts we used for SNP variant calling. The locuslist provides a list of specific SNPs wh...
These are the variant calls made by Mutect2, Strelka2 and FreeBayes both in tumour normal pairwise a...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
Synbols: Probing Learning Algorithms with Synthetic Datasets Benchmark datasets generated using the...
Variant datasets: empirical study on focal methods in DL-based approaches for assertion generatio
<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in var...
CollembolaAI's Community Dataset Pictures of a mock community of 12 species of soil arthropods This ...
raw data of Mock Samples sequenced on the Illumina MiSeq Plattform. Split by Mock Sample Pool, Prime...
Overview of the methods used to simulate genotypes using the software msprime and phenotypes using t...
This artifact includes the datasets used for Learning Realistic Mutations: Bug Creation for Neural B...
"Mocking" is a technique used in unit-testing that replace external dependencies with "fake" objects...
The data provided here are part of a Galaxy Training Network tutorial that demonstrates identificati...
When testing software artifacts that have several dependencies, one has the possibility of either in...
Contains fulltext : 170067.pdf (publisher's version ) (Open Access
<p>Overview of the parameters investigated for the variant calling pipeline with GLM.</p
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