mat2csv matrix to csv
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5.1 years ago
yueli7 ▴ 250

Hello, Everyone,

The raw data is coming from https://satijalab.org/seurat/v3.1/pbmc3k_tutorial.html.

pbmc3k_filtered_gene_bc_matrices.tar.gz.

It is the single-cell file: barcodes.tsv, genes.tsv, matrix.mtx.

I wanted to transfer matrix.mtx file to csv file. I tried many python mat2csv, none of them worked.

Thanks in advance for any help!

Best,

Yue

RNA-Seq • 9.9k views
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Several applications can output files with the mtx extension. Where is your file coming from?
For the Matrix Market and Harwell-Boeing formats, you have the R functions readMM() and readHB() in the Matrix package. The Matrix Market format is used for the matrix.mtx files from 10X Genomics.

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Did you try Cellranger's mat2csv?

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Hello, swbarnes2,

Thank you so much for your kindly suggestion!

I followed

https://support.10xgenomics.com/single-cell-gene-expression/software/pipelines/latest/output/matrices

matrix_dir = "/opt/filtered_feature_bc_matrix/"
barcode.path <- paste0(matrix_dir, "barcodes.tsv")
features.path <- paste0(matrix_dir, "features.tsv")
matrix.path <- paste0(matrix_dir, "matrix.mtx")
mat <- readMM(file = matrix.path)
Error in open.connection(file) : cannot open the connection
In addition: Warning message:
In open.connection(file) :
  cannot open file '/opt/filtered_feature_bc_matrix/matrix.mtx': No such file or directory
  
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Okay, but is that the right path for you?

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Hello, swbarnes2,

Thank you so much for your help!

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Hello, sebarnes2,

I also have a question.

Thank you in advance for your great help!

Best,

Yue

$ cd /opt
$ export PATH=/opt/cellranger-3.1.0:$PATH
$ cellranger sitecheck > sitecheck.txt
bash: sitecheck.txt: Permission denied

I also tried;

$ export PATH=/opt/cellranger-3.1.0:$PATH
$ cellranger testrun --id=tiny
cellranger: command not found
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It works.

export PATH=/opt/cellranger-3.1.0:$PATH
vim ~/.bashrc
export PATH="~/opt/cellranger-3.1.0:$PATH"

 cellranger

/home/li/opt/cellranger-3.1.0/cellranger-cs/3.1.0/bin cellranger (3.1.0) Copyright (c) 2019 10x Genomics, Inc. All rights reserved.

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5.1 years ago
yueli7 ▴ 250

R

library(Matrix)
matrix_dir = "/home/li/"
barcode.path <- paste0(matrix_dir, "barcodes.tsv")
features.path <- paste0(matrix_dir, "features.tsv")
matrix.path <- paste0(matrix_dir, "matrix.mtx")
mat <- readMM(file = matrix.path)
feature.names = read.delim(features.path, 
                       header = FALSE,
                       stringsAsFactors = FALSE)
barcode.names = read.delim(barcode.path, 
                       header = FALSE,
                       stringsAsFactors = FALSE)
colnames(mat) = barcode.names$V1
rownames(mat) = feature.names$V1

Python

import csv
import gzip
import os
import scipy.io
matrix_dir = "/home/li/"
mat = scipy.io.mmread(os.path.join(matrix_dir, "matrix.mtx"))
features_path = os.path.join(matrix_dir, "features.tsv")
feature_ids = [row[0] for row in csv.reader(open(features_path), delimiter="\t")]
gene_names = [row[1] for row in csv.reader(open(features_path), delimiter="\t")]
feature_types = [row[2] for row in csv.reader(open(features_path), delimiter="\t")]
barcodes_path = os.path.join(matrix_dir, "barcodes.tsv")
barcodes = [row[0] for row in csv.reader(open(barcodes_path), delimiter="\t")]

 

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Thanks a lot 4 your summary! @yueli7

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