79 releases (39 breaking)
new 0.42.3 | Nov 22, 2024 |
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0.41.3 | Oct 16, 2024 |
0.40.0 | Jul 16, 2024 |
0.36.1 | Mar 1, 2024 |
0.14.1 | Jul 31, 2023 |
#198 in Database interfaces
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annonars
Genome annotation with Rust and RocksDB.
Also:
Annona (from Taíno annon) is a genus of flowering plants in the pawpaw/sugar apple family, Annonaceae. It is the second largest genus in the family after Guatteria, containing approximately 166 species of mostly Neotropical and Afrotropical trees and shrubs.
Running the CLI
You can enable the annonars CLI by building the project with the cli
feature (easiest done with --all-features
):
# cargo run --all-features -- --help
Working with TSV Files
When built with the cli
feature, annonars
allows you to to import variant annotations from TSV files into RocksDB databases.
This allows you to import variant annotation TSVs as provided by CADD or dbNSFP.
Variants are specified in SPDI representation as described in Holmes et al. 2020.
All variants in one file refer to the same genome build.
You can import TSV files using tsv import
.
For example, to import the "CADD with all annotations" file, you can use the following:
# annonars tsv import \
--path-in-tsv InDels_inclAnno.tsv.gz \
--path-in-tsv whole_genome_SNVs_inclAnno.tsv.gz \
--path-out-rocksdb cadd-rocksdb \
--genome-release grch37 \
--db-name cadd \
--db-version 1.6 \
--col-chrom Chrom \
--col-start Pos \
--col-ref Ref \
--col-alt Alt \
--skip-row-count=1 \
--inference-row-count 100000 \
--add-default-null-values
This will:
- Set the genome release of the database to
grch37
. - Set the meta information about data name and version to
cadd
in version1.6
. - Use the columns
Chrom
,Pos
,Ref
, andAlt
to specify the variant. - The CADD files start with a copyright line above the columns header so we skip one row.
- Use the first 100,000 rows to infer the data types of the columns.
- Specify the default set of null values (
NA
,.
,-
) to be used for missing values.
When run, annonars
will first try to infer the schema from the first 100,000 rows.
It will then import the data into a RocksDB database.
The resulting schema will be dumped in JSON format.
If necessary, you can also specify a file with the schema in JSON file to use as a seed for the schema inference.
You might need to do this if you see an "Unknown"
type in the schema.
At the end, the database will be compacted, which may take some time but is necessary to reduce the size of the database and ensure that it can be read in read-only note.
After everything is done, you will have to manually look for a file matching *.log
in the output RocksDB directory.
This is the write-ahead log (WAL) of RocksDB file and can be safely deleted (it should be zero-sized if everything went well).
Here is how you can import dbNSFP. Note that you will have to build one RocksDB database per genome release that you want to use for lookup.
# annonars tsv import \
$(for f in dbNSFP4.4a_variant.*.gz; do echo --path-in-tsv $f; done) \
--path-out-rocksdb dbnsfp-rocksdb \
--genome-release grch37 \
--db-name dbnsfp \
--db-version 4.4a \
--col-chrom hg19_chr \
--col-start hg19_pos(1-based) \
--col-ref ref \
--col-alt alt \
--inference-row-count 100000 \
--null-values=.
annonars
can use tabix indices to speedup database building.
If there is a .tbi
file for each of the input files then annonars
will use it and perform import in a parallel fashion based on genome windows.
Otherwise, annonars
will import all input files in parallel (yet read through each file sequentially).
By default, one thread for each CPU core on the system is used.
You can control the number of threads to use by setting the environment variable RAYON_NUM_THREADS
.
You can query the rocksdb databases using tsv query
, either based on a variant, a position (all variants at the position), or a region.
Note that annonars
uses SPDI-style coordinates (1-based, inclusive) for all queries.
You can optionally prefix your query with a gnome release (comparison is done case insensitive) and annonars
will check whether the database matches the genome release.
Examples:
# tsv query --path-rocksdb tests/tsv/example/data.tsv.gz.db --range GRCh37:1:1000:A:T
# tsv query --path-rocksdb tests/tsv/example/data.tsv.gz.db --pos GRCh37:1:1000
# tsv query --path-rocksdb tests/tsv/example/data.tsv.gz.db --range GRCh37:1:1000:1001
Developer Notes
The v1
token in the protobuf schema refers to the internal version of the protocol buffer and not the version of, e.g., gnomAD.
Building from scratch
To reduce compile times, we recommend using a pre-built version of rocksdb
, either from the system package manager or e.g. via conda
:
# Ubuntu
sudo apt-get install librocksdb-dev
# Conda
conda install -c conda-forge rocksdb
In either case, either add
[env]
ROCKSDB_LIB_DIR = "/usr/lib/" # in case of the system package manager, adjust the path accordingly for conda
SNAPPY_LIB_DIR = "/usr/lib/" # same as above
to .cargo/config.toml
or set the environment variables ROCKSDB_LIB_DIR
and SNAPPY_LIB_DIR
to the appropriate paths:
export ROCKSDB_LIB_DIR=/usr/lib/
export SNAPPY_LIB_DIR=/usr/lib/
By default, the environment variables are defined in the .cargo/config.toml
as described above, i.e. may need adjustments if not using the system package manager.
To build the project, run:
cargo build --release
To install the project locally, run:
cargo install --path .
Dependencies
~79MB
~1.5M SLoC