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* Bump nightly build release branch to 2.28 (#819)
* fix img and academy links (#815)
Use TileDB Academy links for docs
* remove ENTRYPOINT for Nextflow compatibility (#816)
* remove ENTRYPOINT for Nextflow compatibility
* add tiledbvcf to test_cmd since no entrypoint
* Updated spdlog to version 1.15.3 (#821)
This required adding an include of fmt/ranges.h because of a bug in libfmt 11, which spdlog depends on.
* Revert "Updated spdlog to version 1.15.3 (#821)" (#824)
This reverts commit e4b00ac.
* Updated HTSlib to version 1.22.1 (#822)
* Updated HTSlib to version 1.22.1
This includes changing the CMake External Project URL hash for HTSlib to use a SHA256 checksum because GitHub now auto-generates SHA256 checksums for HTSlib release artifacts.
* Removed unused HTSlib CMake patch
* Updated Azure CI config to install curl prior to bcftools
bcftools 1.22 contains a bug fix that causes the build in this configuration to fail if curl is not present.
* Update to TileDB Embedded 2.28.1
---------
Co-authored-by: John Blischak <jdblischak@gmail.com>
Co-authored-by: Jeremy Leipzig <jeremy.leipzig@tiledb.com>
@@ -12,7 +12,7 @@ A C++ library for efficient storage and retrieval of genomic variant-call data u
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- Easily ingest large amounts of variant-call data at scale
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- Supports ingesting single sample VCF and BCF files
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- New samples are added *incrementally*, avoiding computationally expensive merging operations
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- New samples are added _incrementally_, avoiding computationally expensive merging operations
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- Allows for highly compressed storage using TileDB sparse arrays
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- Efficient, parallelized queries of variant data stored locally or remotely on S3
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- Export lossless VCF/BCF files or extract specific slices of a dataset
@@ -24,9 +24,9 @@ A C++ library for efficient storage and retrieval of genomic variant-call data u
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## Quick Start
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The [documentation website][vcf] provides comprehensive usage examples but here are a few quick exercises to get you started.
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The [TileDB Academy][vcf] provides comprehensive usage examples but here are a few quick exercises to get you started.
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We'll use a dataset that includes 20 synthetic samples, each one containing over 20 million variants. We host a publicly accessible version of this dataset on S3, so if you have TileDB-VCF installed and you'd like to follow along just swap out the `uri`'s below for `s3://tiledb-inc-demo-data/tiledbvcf-arrays/v4/vcf-samples-20`. And if you *don't* have TileDB-VCF installed yet, you can use our [Docker images](docker/README.md) to test things out.
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We'll use a dataset that includes 20 synthetic samples, each one containing over 20 million variants. We host a publicly accessible version of this dataset on S3, so if you have TileDB-VCF installed and you'd like to follow along just swap out the `uri`'s below for `s3://tiledb-inc-demo-data/tiledbvcf-arrays/v4/vcf-samples-20`. And if you _don't_ have TileDB-VCF installed yet, you can use our [Docker images](docker/README.md) to test things out.
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### CLI
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@@ -84,30 +84,28 @@ returns results as a pandas `DataFrame`
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## Want to Learn More?
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*[Blog "Population Genomics is a Data Management Problem"][blog]
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*[Check out the full documentation][vcf]
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*[Why use TileDB-VCF?][docswhytile]
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*[Data Model][docsdatamodel]
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*[Installation][docsinstallation]
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*[How To][docshowto]
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*[Reference][docsreference]
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-[Blog "Population Genomics is a Data Management Problem"][blogdatamgmt]
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-[Blog "TileDB 101: Population Genomics"][blogpopgen101]
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-[Check out the TileDB Academy][vcf]
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-[Data Model][docsdatamodel]
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-[Installation][docsinstallation]
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-[Tutorials][docstutorials]
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-[API Reference][docsreference]
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# Code of Conduct
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All participants in TileDB spaces are expected to adhere to high standards of
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professionalism in all interactions. This repository is governed by the
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specific standards and reporting procedures detailed in depth in the
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