These simple steps will help you integrate LSC into your transcriptomics analysis pipeline.
- Read the LSC_requirements for running LSC.
- Download and set-up the LSC package.
- Follow the tutorial to see how LSC works on some example data.
- Read the manual if anything is unclear.
- Check the guide for generating long read files suitable for isoform predicton or fusion detection.
- You're ready, Happy LSCing!
Latest publicationKin Fai Au, Jason Underwood, Lawrence Lee and Wing Hung Wong
Improving PacBio Long Read Accuracy by Short Read Alignment [preprint]
PLoS ONE 2012. 7(10): e46679. doi:10.1371/journal.pone.0046679
02-02-2015: Minor updates and bug fixes LSC 1.beta
Updating aligners default command options to gain better performance.
- Updated Novoalign command options (tested with >= novocraftV3.02.04 version)
- Updated RazerS3 command options to be compatible with latest version (razers3 3.1.1)
- Added extra clean_up option value to remove all generated intermiediate files in case of issues w/ disk space
- Fix a bug in generating full_LR.fa sequences causing some full read sequences to miss couple of bases
12-01-2013: Faster and much less memory-required LSC 1.alpha is released
In the LSC 0.3.0 or 0.3.1, we optimized the setting of bowtie2 and BWA to get much more short read alignment, which improve the the accuracy of error correction a lot/ However, the increase of alignments also requires much more running time (on both alignment and the following error correction step) and memory usage. Therefore, a few users met difficulty of running LSC 0.3.0 or 0.3.1.
In LSC 1.alpha, we apply probabilistic algorithm ("SCD" option) to select ""enough" short read alignment for error correction. LSC 1.alpha does NOT sacrifice the error correction performace (sensitivity and specificity). Please see http://www.healthcare.uiowa.edu/labs/au/LSC/LSC_manual.html#aligner Thus, we save running time and memory usage significantly. The running time is 30-50% of LSC 0.3.1. The peak memory usage decreases to ~10G regardless of the data size.
- Added probabilistic algorithm ("SCD" option) to pre-select SR alignments results based on LR-SR alignment coverage depth (Significant improvement in running time and memory usage)
- Removed requirement for loading SR dataset in memory to generate LR-SR mapping file (Significant improvement in memory usage)
- Added option "sort_max_mem" in run.cfg to control maximum memory used by unix sort command to avoid unexpected Mem crash
- Fixed a bug in generating FASTQ file (it affected some of QualityValue computation results)
09-30-2013: More robust and faster LSC 0.3.1
In LSC 0.3.1, we don't have pseudo chromosome, the alignment time reduced to ~10% (in Bowtie2 mode). And you can re-run some crashed jobs easily now.
- Remove pseudo-chr processing
- Accept compressed SR as input (should be named SR.fa.cps/SR.fa.cps.idx in any folder)
- Added "runLSC -cleanup" option to remove redundant files (per thread split, remaining _tmp files) if the run was successful at the end.
- Changed convertNav to sort reads and then generate LR_SR.map (memory optimization instead of loading all alignments in memory)
- Changed "print" to system.echo (messages were not printed out in qsub output files)
- Changed a little bit "cleanup" option to keep per thread data (*.aa, *.ab, ..). It was useful when one thread was crashed and we wanted to just re-run that at the end
08-07-2013: Big changes in LSC 0.3
In LSC 0.3, we have a few updates. They are very IMPORTANT updates, new features and small fixes
Very IMPORTANT updates:
- Support for Bowtie2 and RazerS3 as initial aligners. Now, BWA, Bowtie2, RazerS3 and Novoalign work in LSC. Please see the comparison details of aligners in the "Short read - Long read aligner#manual".
Added SR length coverage percentage on LR (SR-covered length/full length of corrected LR) to corrected_LR output file. Here is an example, where the last number 0.82 is the SR length coverage percentage on LR:
- Added support for three modes for step-wise runs:
- Generating FASTQ output format based on correction probability given short read coverage. Please refer to LSC paper and manual page for more details. You can select well-corrected reads for downstream analyses by using the quality in FASTQ output or SR length coverage percentage above. Please the the filtering in the "Output#manual".
- mode 0: end-to-end
- mode 1: generating LR_SR.map file
- mode 2: correction step
- Used the python path in the cfg file instead of default user/bin path
- Added option (-clean_up) to remove intermediate files or not (Note: important/useful ones will still be there in temp folder)
- Support for input fastq format for LR (long reads) and/or SR (short reads)
- Updated default BWA and novoalign commands options
- Printing out original LR names in the output file
- Support for printing out version number using -v/-version option
Small bug fixed
- Fixed in removing XZ pattern printed out at the end of some uncorrected_LR sequences
- Fixed samParser bug (which was ignoring some valid alignments in BWA output)
06-09-2013: BWA is accepted in LSC 0.2.4
We use a short read aligner in the first step of LSC. By default, Novoaligner is used. You can use BWA to run this process as well, which could be much faster. Please find the new aligner options in the webpage ".cfg file format"
The default settings of Novoalign options are:
-r All -F FA -n 300 -o sam -o FullNWThe default settings of BWA options are:
-n 0.08 -o 10 -e 3 -d 0 -i 0 -M 1 -O 1 -E 1 -NYou can change these aligner setting. The details of these options can be found in the aligners' home page.
In addition, a bug is fixed:
some uncertain corrections may exist at the right ends of the long reads in the old LSC. LSC 0.2.4 settles this problem and likely improves the accuracy further.
02-06-2013: a bin path bug is fixed in LSC 0.2.2If you run LSC at the bin folder (the bin folder is the work directory) or set the bin as the default path, then you may meet this bug. LSC 0.2.3 fixes this bug of finding the correct bin folder. You can download the LSC 0.2.3
10-17-2012: LSC 0.2.2 Released and a RemoveBothTail bug is fixedLSC 0.2.2 fixes the bug of the option "I_RemoveBothTails". LSC 0.2.1 ran this option even if you set "N". It may halt the process in LSC 0.2.1 because the read name does not allow "RemoveBothTails". Now you can choose to use this option or not.
10-13-2012: The manual and a tutorial are releasedThe manual is released and you can also learn LSC by running the example in the tutorial.
10-4-2012: LSC paper is releasedKin Fai Au, Jason Underwood, Lawrence Lee and Wing Hung Wong
Improving PacBio Long Read Accuracy by Short Read Alignment
8-12-2012 - LSC 0.2.1 Released
LSC 0.2.1 fixes the bug of python path. Another bug of removing redundant reads is also fixed. LSC takes a long read data sets (>=100bp) and a short reads data sets (50 - 100bp) as input. They should be in FASTA format. Running time is almost linear with the the number of threads.
- Python (version 2.6 or higher) should be installed in the default user bin "#!/usr/bin/python"
- Novoalign should be in your default path. The version V2.07.10 is recommended.
- A new option of using nonredandunt reads that save ~40% running time
8-7-2012: some bugs are found
5-2-2012: LSC 0.2 Released
LSC 0.2 takes a long read data sets (>=100bp) and a short reads data sets (50 - 100bp) as input. They should be in FASTA format. Running time is almost linear with the the number of threads.
- More optional for raw data prefilter
- Multi-threading is available
- Reduced redundant temp files
For detailed information about this release, please see the release notes.