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AK1_PacBio

1. Setting up Environment

1-1. HiFi DNA processing

# Download https://github.com/PacificBiosciences/pb-CpG-tools/raw/main/conda_env_cpg.yaml
# vim conda_env_cpg.yaml
#name: pbcpg
#channels:
#  - bioconda
#  - conda-forge
#  - defaults
#dependencies:
#  - python=3.9
#  - tensorflow=2.7
#  - numpy=1.20.0
#  - biopython
#  - pandas
#  - pysam
#  - tqdm
#  - pybigwig
conda env create -f conda_env_cpg.yaml
source activate pbcpg
conda install -c bioconda samtools
conda install -c bioconda pbmm2

# Download "hg38.analysisSet.fa.gz" from http://hgdownload.cse.ucsc.edu/goldenpath/hg38/bigZips/analysisSet/

The model for calculating the modification probabilties across CpG context is available in https://github.com/PacificBiosciences/pb-CpG-tools/tree/v1.2.0/pileup_calling_model

1-2. HiFi single-cell RNA (MAS-ISO-Seq)

conda create -y -n masisoseq -c bioconda pbskera
source activate masisoseq
conda install -y -c bioconda lima
conda install -y -c bioconda samtools
conda install -c bioconda isoseq3
conda install -c bioconda pbccs
conda install -c bioconda minimap2
# For _02.remove_5mc_from_bam.sh
conda create -y -n masisoseq2 -c bioconda argparse pysam tqdm matplotlib numpy
source activate masisoseq2

2. Data Availability

The sequence data used in this study (e.g. PacBio HiFi Data) were submitted to the Sequence Read Archive with BioProject Accession Number PRJNA1071193*. (*Note: SRA records will be accessible with the link above after 2024-12-31 or upon pulication of our findings)

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