Statistics for topic sequencing
RepositoryStats tracks 639,260 Github repositories, of these 75 are tagged with the sequencing topic. The most common primary language for repositories using this topic is C++ (16). Other languages include: Python (16)
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DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A complete framework for data control and composition in the vvvv visual programming environment.
Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
CLI tool for flexible and fast adaptive sampling on ONT sequencers
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Design degenerated primers on highly variable alignments for full genome sequencing or qPCR. Specifically developed for viruses.
DeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.