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Releases: nanoporetech/dorado

v0.8.3

11 Nov 16:58
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[0.8.3] (11 Nov 2024)

This release of Dorado adds fixes and improvements to the Dorado 0.8.2 release, including a fix to SUP basecalling on Apple Silicon.

  • 03e5eec - Fix incorrect basecalls being emitted from SUP models on Apple Silicon
  • 987a237 - Improve error messaging when unable to run basecalling kernels on Apple GPU

v0.8.2

21 Oct 09:40
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[0.8.2] (21 Oct 2024)

This release of Dorado includes fixes and improvements to the Dorado 0.8.1 release.

  • 9a81cbc - Fix errors when running dorado basecaller on multi-GPU systems
  • bac4469 - Fix error when passing invalid option to basecaller --modified-bases argument
  • 7f40154 - Fix bug when running on GPUs with less than the recommended VRAM
  • a993a32 - Prevent loss of small numbers of reads from dorado correct
  • bbbeb9a - Fix error when dorado demux is provided an empty input directory
  • 3a8094a - Clarify "Unable to find chunk benchmarks" warning to indicate that it is not an error
  • 543ccc1 - Improve documentation on running Dorado in PowerShell on Windows

v0.8.1

04 Oct 09:52
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[0.8.1] (03 Oct 2024)

This release of Dorado includes fixes and improvements to the Dorado 0.8.0 release, including corrected configuration for DNA v5 SUP-compatible 5mC_5hmC and 5mCG_5hmCG models, improved cDNA poly(A) tail estimation for data from MinION flow cells, reduced basecaller startup time on supported GPUs, and more.

  • f74d891 - Corrected bug causing [email protected]_5mC_5hmC@v2 to call CpG contexts only and [email protected]_5mCG_5hmCG@v2 to call all contexts
  • eb46494 - Improve cDNA poly(A) tail estimation for MinION flow cells
  • 762e886 - Cache batch sizes to significantly reduce basecaller startup time on supported GPUs
  • 22269a8 - Prevent "Trim interval is invalid for sequence" error when performing trimming
  • f156ae6 - Prevent write permission error for model download folder when file write is not required
  • fcb9d53 - Include run name in output files from dorado demux even if input files are FASTQ
  • a4c9649 - BED file handling: only split columns on tabs, not spaces; load files with spaces in region names
  • e62cbc8 - Allow comment lines in the middle of the BED file
  • f15c0b3 - Fix compilation in AppleClang 16

v0.8.0

16 Sep 21:18
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[0.8.0] (16 Sept 2024)

This release of Dorado adds v5.1 RNA models with new inosine_m6A and m5C RNA modified base models, updates existing modified base models, improves the speed of v5 SUP basecalling models on A100/H100 GPUs, and enhances the flexibility and stability of dorado correct. It also introduces per-barcode configuration for poly(A) estimation with interrupted tails, adds new --output-dir and --bed-file arguments to Dorado basecalling commands, and includes a variety of other improvements for stability and usability.

  • a69c0a2 - Add v5.1.0 RNA basecalling models, including new inosine_m6A and m5C modified base models, and updated existing DNA and RNA modified base models
  • 8e3a870 - Improve speed of v5 SUP basecalling models on A100 and H100 GPUs
  • 6ee9018 - Reduce false positive calls from v5 DNA modifed base models
  • 69cb260 - Fix bug causing intermittent crashing with v5 SUP models
  • e9dec49 - Add --resume-from functionality to dorado correct
  • cb6eee1 - Decouple alignment and inference stages in dorado correct
  • df861db - Prevent segfaults in dorado correct
  • f35c8cc - Fix bug when downloading models for dorado correct
  • 6646701 - Add per-barcode poly(A) configuration for interrupted tails
  • 0b79407 - Improve poly(A) length estimation for RNA and DNA
  • df614ab - Add --output-dir argument to dorado basecaller and dorado duplex
  • f9beb39 - Add --bed-file argument to dorado basecaller and dorado duplex
  • 1fc6f1e - Add --models-directory option to basecaller, duplex, and download to download and reuse models
  • 966c2ca - Update POD5 version to v0.3.15
  • 6ec77c8 - Fix errors when performing duplex calling with modified bases
  • 4a28d58 - Always trim DNA adapter signal before processing RNA reads
  • a90fbf9 - Fix loading of FASTQ files containing RNA with U bases
  • 9e5db84 - Fix duplicated alignment tags in re-aligned files
  • 3cc4de3 - Prevent "Too many open files" error when using --sort-bam with dorado demux
  • b531918 - Prevent dorado basecaller crash when signal-space trimming removes all raw data
  • adc60ba - Package libcupti.so into ARM Linux builds
  • 667d160 - Remove kit name requirement in custom barcode configuration
  • e9281fa - Emit an error message if header from input HTS file cannot be read
  • 7f42b8f - Warn and exit instead of crashing if a model path does not exist
  • 7d74246 - Improve index file error handling
  • c77733a - Add a mechanism to cache auto batch size calculations
  • a674dad - Update --help documentation for basecaller, duplex, and correct
  • 022901e - Fix JSON output when using --list-structured with dorado download
  • db73e5d - Add run_id to filenames output by demux

v0.7.3

01 Aug 15:14
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[0.7.3] (1 Aug 2024)

This release of Dorado updates dorado correct to fix handling of high copy repeats and avoid shutdown hanging. It also includes dorado demux improvements to reduce false matches in midstrand barcode detection and ensure correct file naming, along with other fixes.

  • 5dc78ab - Remove limit on number of overlaps considered during all-vs-all alignment in dorado correct
  • 2741de7 - Prevent hang during shutdown of dorado correct and prevent out of memory errors
  • 37d316c - Remove unused --read-ids and --threads parameters from dorado correct
  • ddb13de - Increase the threshold for midstrand barcode detection to reduce false matches
  • 845a3ad - Fix misnaming by dorado demux of barcode file for barcodes ending in a letter (e.g., 12a)
  • 56d3e8e - Fix seq/qual orientation when demultiplexing aligned BAMs
  • 5ddfc2f - Fix bug causing CUDA illegal memory access with v5 RNA SUP and mods

v0.6.3

01 Aug 09:45
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[0.6.3] (31 July 2024)

This release matches the version of Dorado in MinKNOW 24.06 and Dorado Basecall Server 7.4.12.

  • 29f311b - Increase the threshold for midstrand barcode detection to reduce false matches
  • 01735dd - Fix misnaming by dorado demux of barcode file for barcodes ending in a letter (e.g., 12a)
  • c65f1f3 - Fixes to support live basecalling in MinKNOW

v0.7.2

18 Jun 10:29
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[0.7.2] (18 June 2024)

This release of Dorado resolves basecalling failures when running v5 SUP models on CPU-only devices or v5 RNA HAC on Apple silicon. It also fixes bugs in dorado demux and dorado correct, and corrects sm and sd tags to match the Dorado SAM specification.

  • 3835272 - Fix bug causing v5 SUP models to fail when running on CPU-only devices
  • c36f444 - Fix bug causing RNA v5 HAC basecalling to fail on Apple silicon
  • 3621800 - Fix bug causing segfault in dorado demux
  • 3b51c1b - Fix sub-par alignments in dorado correct
  • d0df79c - Correct shift and scale (sm and sd) SAM tags to match SAM specification

v0.7.1

04 Jun 02:46
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[0.7.1] (3 June 2024)

This release of Dorado fixes out of memory errors when using the v5 SUP model with methylation calling, resolves several bugs in dorado correct and adds correct handling of the BC:Z tag when running demux multiple times.

  • a9c6f59 - Fetch available memory correctly for autobatch calculation with modbase models
  • eb24124 - Move developer quickstart and extend installation instructions
  • 45b8acc - Package missing CUDA Toolkit dependencies with dorado
  • 33578e7 - Update BC tag instead of adding a new one
  • 580ad61 - Prevent creation of CUDA stream when device is CPU
  • 82078c5 - Fix segfault with htslib pointer freeing in Windows

v0.7.0

21 May 17:30
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[0.7.0] (21 May 2024)

This release of Dorado introduces new and more accurate v5 models for improved basecalling. It also adds a new subcommand, dorado correct, for single-read error correction to help Nanopore based de novo assemblies of haploid or diploid genomes. In addition, this release contains a slew of bug fixes, stability enhancements and updates to barcode classification.

New feature highlights

  1. DNA, RNA and duplex basecalling models with improved single read accuracy.
  2. Support for 4mC_5mC methylation calling in DNA and all-context m6A and pseU in RNA.
  3. dorado correct subcommand for single-read error correction of haploid and diploid genomes (for assembly pipelines).
  4. Poly(A) tail estimation for plasmids and transcripts with interrupted tails.
  5. Support for --junc-bed minimap2 splice option.
  6. Faster BAM indexing and sorting code.

Changes to default behavior

  1. Data type of mean Q-score tag (qs) updated to float.
  2. Adapter trimming is enabled when poly(A) estimation is requested.

All key changes

  • 7a09ca3 - Add v5 basecalling models for DNA, RNA and duplex
  • 159b73c - Add new models for calling DNA and RNA base modifications (4mC_5mC, m6A, pseU)
  • be8ac08 - Add dorado correct support for read error correction
  • 67dc5ba - Poly(A) estimation for plasmids and interrupted tails
  • 381f6c3 - Enable adapter trimming when poly(A) estimation is requested
  • d6b0f68 - Change data type of mean Q-score (qs tag) to float
  • f938c41 - List supported models in structured format
  • 70ff95d - Enable dorado summary to run on trimmed BAM files
  • 6373792 - Detect presence of midstrand barcodes to reduce false positive classifications
  • 68d40da - Add support for --junc-bed minimap2 splice option
  • c443f75 - Output BAM instead of SAM from dorado trim command
  • a3dce7e - Support dorado demux from input folders with mix of PG and SQ headers
  • 08e2c7b - Speed up sorting and merging of BAM files
  • b8de2d9 - Set maximum memory sizes in minimap2
  • b8de2d9 - Calculate scaling for RNA on non-adapter signal only
  • c88e9f7 - Update CMake Minimum Version to 3.23

v0.6.2

10 May 03:13
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[0.6.2] (9 May 2024)

This release of Dorado disables trimming of the rapid adapter during basecalling which was causing some RBK datasets to have a high unclassified rate during demux.

  • a64492b - Fix bug with loading reverse aligned records in dorado demux and trim
  • 6cc278f - Disable rapid adapter trimming to prevent signal overtrimming in some RBK datasets