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Intro to single cell technologies

ACCESSING THE NODE

Type in password.

Data

  1. Create a folder
mkdir intro_single_cell
cd intro_single_cell
  1. Download data from cellranger 10x website (~ 1 minutes)
curl -O https://cf.10xgenomics.com/samples/cell-exp/3.0.0/pbmc_1k_v3/pbmc_1k_v3_fastqs.tar
  1. Look at the copied data that you will use for the exercis
ls

pbmc_1k_v3_fastqs.tar

  1. Extract .tar files
tar xvf pbmc_1k_v3_fastqs.tar
cd pbmc_1k_v3_fastqs
ls
  1. Look at the fastq file
gunzip -c pbmc_1k_v3_S1_L001_I1_001.fastq.gz > pbmc_1k_v3_S1_L001_I1_001.fastq
head -n 36 pbmc_1k_v3_S1_L001_I1_001.fastq

Fastqc

  1. Load module
module load fastqc/0.11.9 mugqic/openjdk-jdk-19
  1. Check that you have successuflly load fastqc
fastqc -v
  1. Run the tool fastqc to assess the quality of the sequencing
fastqc pbmc_1k_v3_S1_L001_I1_001.fastq.gz
  1. To make it easier, let’s look at the FASTQC results on your web browser
mkdir ~/public_html
cp ~/intro_single_cell/pbmc_1k_v3_fastqs/*.html ~/public_html/
chmod -R 755 ~

You can now access your files from a web browser at (by replacing “XX” by your username): https://workshop2021a.vhost37.genap.ca/~micmXX

Cellranger

  1. Set cellranger to path
export PATH=/home/*USERNAME*/cellranger-7.0.1:$PATH
  1. Check that you have successuflly load cellranger
cellranger --version
  1. Run cellranger count (~hours) (change to your username)
cellranger count --id=run_count_1kpbmcs \
   --fastqs=/home/micmXX/intro_single_cell/pbmc_1k_v3_fastqs \
   --sample=pbmc_1k_v3 \
   --transcriptome=/home/micmXX/intro_single_cell/refdata-gex-GRCh38-2020-A
  1. You can check the outputs from official website: https://www.10xgenomics.com/resources/datasets/1-k-pbm-cs-from-a-healthy-donor-v-3-chemistry-3-standard-3-0-0

Scanpy

Open the following tutorial codes in colab and copy the file to your account

Tutorial codes: Open In Colab
Tutorial solution codes: Open In Colab

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