Liulab Dfci MAESTRO Versions Save

Single-cell Transcriptome and Regulome Analysis Pipeline

v1.5.1

2 years ago
  • Expand STARsolo --soloFeatures and --runThreadN as MAESTRO subcommands.
  • Support single-nuclei RNA-seq pipeline.
  • Fix bug in sample initiation subcommand to read fastq with sample id greater than 9.
  • Update MAESTRO documentation to v1.5.1. Add snRNA-seq tutorials. Expand scRNA-seq tutorial with lisa2 TF prediction custom analysis.
  • Add multi-scATAC-seq genome track plot for pseudobulk peaks. Explain multi-samples peak calling parameters.

v1.5.0

2 years ago

v1.5.0

  • Support processing multi-samples for both scRNA-seq and scATAC-seq.
  • Support multi-sample scATAC-seq when starting from bam file with CB tag or 10X like fragment file.
  • Fix the ratio of genes mapped to mitochondrial to percentage.
  • Move MAESTRO documentation to workfowr.

v1.4.0

3 years ago
  1. Upgrade R package dependencies to Seurat4.0.0 and Signac1.1.1.
  2. Move functions from the old Seurat package to Signic.
  3. Fix mito.cutoff rate as a variable.
  4. Add output directory option in MAESTRO R package.

v1.3.2

3 years ago
  • Move from TravisCI to GitHub Actions for building package.
  • LISA2 upgrades to v2.2.2. New LISA data are required for human and mouse. Please download to your computer and provide the path when initiating.
  • Add LISA path as a variable in TF annotating function.
  • Reduce the time and memory usage in the peak counting step.
  • Fix a bug in the simple RP model for gene score calculation.
  • Fix a bug in scATAC-Seq Snakefile.

v1.3.1

3 years ago
  • fix a bug when generating raw scATAC-seq count matrix. Do not count duplicates within a cell.

v1.3.0

3 years ago
  • scATAC-seq multi-sample pipeline enabled. Deduplication can be set at the cell or bulk level.
  • Peak count matrix can be generated either as a binary or raw count matrix.
  • LISA2 data will only be configured once in a given environment.
  • Update web links for downloading reference data.

v1.2.2

3 years ago
  • Update LISA to LISA2 which extends the original, runs faster, reduces dependencies, and adds useful CLI functions for pipeline integration. Please download the LISA2 data from human and mouse.
  • Update conda dependencies to only requesting lowest versions.
  • Fix the bugs in conda package installation channel.
  • Update markers in the mouse.brain.ALLEN cell signature file.
  • Fix the bugs to support the 10X .h5 file as the input format of MAESTRO scatac-genescore.
  • Rename 'Adjusted RP model' to 'Enhanced RP model'.
  • Fix the bugs in Snakefile to meet the latest version of snakemake.
  • Update STAR reference indexes files for STAR -version 2.7.6a. Provide pre-built indexes for human and mouse.

v1.2.1.9999

3 years ago

v1.2.1.999, a beta release for v1.2.2 (bug fixes)

  • gene score calculation
  • mouse brain ALLEN signatures
  • memory issue when merging h5 file
  • etc

v1.2.1

3 years ago
  • For scATAC, support fastq, bam, fragments.tsv.gz as the input of the scATAC-seq workflow;
  • For scATAC, provide an option for users to skip the cell-type annotation step in the pipeline, and an option to choose the strategy for cell-type annotation (ATACAnnotateCelltype and ATACAnnotateChromatinAccessibility);
  • Provide small test data for test scRNA-seq and scATAC-seq pipeline (sampling from 10x fastq files);
  • Add parameter validation before initializing the pipeline and provide more gracious error messages;
  • Update R in MAESTRO conda package to 4.0.2, and Seurat to 3.1.5

1.1.0

3 years ago

MAESTRO v1.1.0