# convert a bulk RNA-Seq genomic BAM to a transcriptomic BAM for quantification with Salmon
mudkipper bulk --gtf annotation.gtf --alignment genomic.bam --out transcriptomic.bam
# convert a single-cell RNA-Seq genomic SAM to a transcriptomic RAD for quantification with alevin-fry
mudkipper sc --gtf annotation.gtf --alignment genomic.sam --out transcriptomic_dir
# build and store a GTF index; useful if you want to convert multiple BAM/SAM files
mudskipper index --gtf annotation.gtf --dir-index gtf_index
# run mudskipper using the pre-built GTF index
mudkipper bulk --index gtf_index --alignment genomic.bam --out transcriptomic.bam
mudkipper sc --index gtf_index --alignment genomic.sam --out transcriptomic_dirmudskipper is a tool for converting genomic BAM/SAM files to transcriptomic BAM/RAD files. More specifically, it projects the genomic coordinates of each alignment entry to transcriptomic coordinates based on a given transcript annotation in GTF format, producing multiple alignment entries if the genomic alignment overlaps multiple transcripts.
While mudskipper is intended as a general alignment conversion/projection tool, the current focus in mudskipper is to enable transcript quantification from genomic alignments without re-mapping short reads onto the transcriptome (e.g. using salmon for bulk RNA-Seq samples and alevin-fry for single-cell RNA-Seq samples). The motivation for developing mudskipper was that there are many tools that require alignment of short RNA-Seq reads against reference genome. Transcript quantification tools on the other hand, often expect alignment of short RNA-Seq reads against the transcriptome. mudskipper enables users to perform transcript quantification using genomic alignments instead of starting the whole process from scratch (by avoiding mapping short RNA-Seq reads directly against the transcriptome).
Algorithmic details: mudskipper parses the input GTF file and builds an interval tree (using the coitrees crate) that stores the coordinates of exons for all the transcripts present in the GTF file. It then processes each genomic alignment of the given input BAM/SAM file. Note that genomic alignments of RNA-Seq reads may be spliced (i.e. they might have N in the CIGAR string). Therefore, mudskipper uses the generated interval tree to project each genomic alignment to all transcripts that satisfy the following conditions:
- Transcripts whose start and end coordinates on the genome mark a region that fully contains the alignment,
- Transcripts whose exon coordinates match the splicing of the genomic alignment
For each such transcript, a BAM record is created that stores the proper alignment to that transcript. Note that the first condition above means that projection to intergenic or intronic regions are not currently reported. It also means that mudskipper currently does not report support reads that align transcripts in an overhanging fashion. This requirement can be relaxed in the future to support overhanging alignments, and potentially to allow arbitrary projection.
mudskipper is written in Rust and can be built as follows:
[Requires: Rust toolchain; minimum rustc version 1.51.0]
cargo build --releaseThis will create a binary executable at target/release/mudskipper. You can add this file to your environment PATH variable for convenience. This can be done temporarily using:
export PATH=`pwd`/target/release/:$PATHmudskipper bulk [OPTIONS] --alignment <FILE> (--gtf <FILE>|--index <DIR>) --out <FILE>
OPTIONS:
-a, --alignment <FILE> Input SAM/BAM file
-g, --gtf <FILE> Input GTF/GFF file
-i, --index <DIR> Index directory containing parsed GTF files
-o, --out <FILE> Output file name
-s, --max-softclip <INT> Max allowed softclip length [default: 50]
-t, --threads <INT> Number of threads for processing bam files [default: 1]
-r, --rad Output in RAD format instead of BAM
-h, --help Prints help information
-V, --version Prints version information
Using this argument you can specify the input alignment file. Currenlty BAM/SAM formats are supported. This BAM/SAM file should contain alignment of short RNA-Seq reads against reference genome.
✏️ The alignments stored in this file are potentially spliced.
This argument can be used to pass the gene annotation in GTF format. In this case, the interval tree is build from the GTF file on the fly. Alternatively, --index argument can be used. That means --gtf and --index are mutually exclusive.
✏️ Make sure that the GTF file corresponds to the same version of the reference genome to which short reads have been aligned. If some target sequences are missing from the GTF file, alignments to those target sequences will be dropped automatically.
This argument specifies the path to the pre-built interval tree, previously created from a GTF file (see Building and storing the GTF interval tree for more details about how to create such an index). This is helpful if you wish to run mudskipper on many BAM/SAM files. the Note that --gtf and --index are mutually exclusive.
The path to the output alignment file. By default, the output alignment file is in BAM format. If --rad is passed, then the output alignment file will be in RAD format.
Pass this argument to output alignments in RAD format instead of BAM. This argument is not set by default.
The number of threads to use for reading and writing BAM files. By default, this is set to 1.
Drop alignments that have more than INT soft-clipped bases. By default, this is set to 50.
mudskipper sc [OPTIONS] --alignment <FILE> (--gtf <FILE>|--index <DIR>) --out <FILE/DIR>
OPTIONS:
-a, --alignment <FILE> Input SAM/BAM file
-g, --gtf <FILE> Input GTF/GFF file
-i, --index <DIR> Index directory containing parsed GTF files
-o, --out <FILE/DIR> Output file name (or directory name when --rad is passed)
-s, --max-softclip <INT> Max allowed softclip length [default: 50]
-t, --threads <INT> Number of threads for processing bam files [default: 1]
-r, --rad Output in RAD format instead of BAM
-m, --rad-mapped <FILE> The name of output rad file; Only used with --rad [default: map.rad]
-u, --rad-unmapped <FILE> The name of file containing the number of unmapped reads for each barcode; Only used with --rad [default: unmapped_bc_count.bin]
-c, --corrected-tags Output error-corrected cell barcode and UMI
-h, --help Prints help information
-V, --version Prints version information
Using this argument you can specify the input alignment file. Currenlty BAM/SAM formats are supported. This BAM/SAM file should contain alignment of short RNA-Seq reads against reference genome.
✏️ The alignments stored in this file are potentially spliced.
This argument can be used to pass the gene annotation in GTF format. In this case, the interval tree is build from the GTF file on the fly. Alternatively, --index argument can be used. That means --gtf and --index are mutually exclusive.
✏️ Make sure that the GTF file corresponds to the same version of the reference genome to which short reads have been aligned. If some target sequences are missing from the GTF file, alignments to those target sequences will be dropped automatically.
This argument specifies the path to the pre-built interval tree, previously created from a GTF file (see Building and storing the GTF interval tree for more details about how to create such an index). This is helpful if you wish to run mudskipper on many BAM/SAM files. the Note that --gtf and --index are mutually exclusive.
The path to the output alignment file in BAM format. If --rad is passed, this argument specifies the output directory that contains the RAD format as well as other files required by alevin-fry for performing transcript quantification.
Pass this argument to output alignments in RAD format instead of BAM. This argument is not set by default.
Specifies the name of output rad file. This option is used only when --rad is passed. In that case, this file will be stored in the directory passed by --out. By default, this is set to map.rad.
Specifies the name of the file containing the number of unmapped reads for each barcode. This option is used only when --rad is passed. In that case, this file will be stored in the directory passed by --out. By default, this is set to unmapped_bc_count.bin.
The number of threads to use for reading and writing BAM files. By default, this is set to 1.
Drop alignments that have more than INT soft-clipped bases. By default, this is set to 50.
By default, mudskipper sc expects to see CR and UR tags in the input BAM/SAM file, which store cell barcode and UMI respectively. If this argument is passed, then CB and UB tags must be present instead, which store corrected cell barcode and corrected UMI respectively.
mudskipper index --gtf <FILE> --dir-index <DIR>
OPTIONS:
-g, --gtf <FILE> Input GTF/GFF file
-d, --dir-index <DIR> Output index directory name
-h, --help Prints help information
-V, --version Prints version information
When using mudskipper bulk or mudskipper sc, if you pass the gene annotation file, mudskipper builds an interval tree on the fly. This interval tree is used to query transcriptomic coordinates that overlap a given genomic region. Instead of building the interval tree on the fly, you can build the interval tree and store it for later use. This is helpful if you wish to run mudskipper on many BAM/SAM files representing alignments to the same reference under the same annotation.
Specifies the gene/transcript annotation file in GTF format.
The path of the directory where the interval tree files will be stored.
✏️ This directory will be created if does not exist.
If we have a BAM/SAM file containing alignment of RNA-Seq reads from a bulk sample against the reference genome, we cannot use it for transcript quantification with many of the state-of-the-art tools like salmon. Although salmon has a very fast embedded mapping module, we can still avoid re-mapping by using the mudskipper bulk command to project genomic alignments to transcriptomic coordinates. That allows us to use salmon in alignment-based mode. More specifically, mudskipper will output transcriptomic alignments in a BAM file that can be passed to salmon quant via -a or --alignments input option.
mudskipper also facilitates transcript quantification of single-cell RNA-Seq samples from genomic alignments. alevin-fry is a tool for processing single-cell RNA-Seq samples, which takes the output of salmon alevin in RAD format as input. Using mudskipper, if we have a BAM/SAM file containing alignments of a scRNA-Seq sample against the reference genome, we can avoid the need to run salmon alevin, and can instead extract the required information — in the correct format — directly from the BAM file. To accomplish this, we run the mudskipper sc command with the --rad option to generated the desired RAD file. To process this RAD file, the normal alevin-fry generate-permit-list, alevin-fry collate and alevin-fry quant commands can be used.
mudskipper is still in the early stages of development with lots of room for improvements. So far, mudskipper has been tested only for the purpose of transcript quantification. Currently, it has the following known limitations:
- Chimeric alignments are not reported. That means for now a projected alignment is reported only if all its segments fall on the same target.
- It only reports projected alignments that are fully contained in a transcript. In other words, it currenlty does not report any overhanging alignments. [#10]
- Some fields and optional tags of the output BAM might not be properly updated. [#13]
- For single-cell samples, it drops alignment of reads that have
Nin their barcode. [#15]
Bug reports and suggestions are warmly welcomed.