How to Install and Uninstall python3-loompy Package on Ubuntu 21.10 (Impish Indri)
Last updated: February 03,2025
1. Install "python3-loompy" package
Here is a brief guide to show you how to install python3-loompy on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-loompy
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2. Uninstall "python3-loompy" package
Please follow the instructions below to uninstall python3-loompy on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-loompy
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-loompy package on Ubuntu 21.10 (Impish Indri)
Package: python3-loompy
Architecture: amd64
Version: 3.0.6+dfsg-4
Priority: optional
Section: universe/python
Source: python-loompy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 174
Depends: python3-click, python3-h5py-serial, python3-numba, python3-numpy, python3-numpy-groupies, python3-pkg-resources, python3-scipy, python3:any, python3-h5py, python3-pandas
Filename: pool/universe/p/python-loompy/python3-loompy_3.0.6+dfsg-4_amd64.deb
Size: 37780
MD5sum: 747d829b4104f9db1b670739d520c4d5
SHA1: 9d88e93dabac72cd31791baffd530e14cb89db2c
SHA256: 4a5cf8663b1bdc8cc54ca302e596af9fd831c4642752c3a2a1ff6577de548681
SHA512: 56c157f3d4a56b0eca1c440335626541370d4f36cd5ae7dcb5aabbe2eb5ed1edb701eb07830cf88b86058d191fcf8b91ff8e7a79e7254c6811aa90a285bf4a5a
Homepage: https://github.com/linnarsson-lab/loompy
Description-en: access loom formatted files for bioinformatics
Loom is an efficient file format for very large omics datasets,
consisting of a main matrix, optional additional layers, a variable
number of row and column annotations. Loom also supports sparse
graphs. Loom files are used to store single-cell gene expression data:
the main matrix contains the actual expression values (one column per
cell, one row per gene); row and column annotations contain metadata
for genes and cells, such as Name, Chromosome, Position (for genes),
and Strain, Sex, Age (for cells).
.
Loom files (.loom) are created in the HDF5 file format, which supports
an internal collection of numerical multidimensional datasets. HDF5
is supported by many computer languages, including Java, MATLAB,
Mathematica, Python, R, and Julia. .loom files are accessible from any
language that supports HDF5.
Description-md5: c20c276e5759dd79ac82c9c68fadff5b
Architecture: amd64
Version: 3.0.6+dfsg-4
Priority: optional
Section: universe/python
Source: python-loompy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 174
Depends: python3-click, python3-h5py-serial, python3-numba, python3-numpy, python3-numpy-groupies, python3-pkg-resources, python3-scipy, python3:any, python3-h5py, python3-pandas
Filename: pool/universe/p/python-loompy/python3-loompy_3.0.6+dfsg-4_amd64.deb
Size: 37780
MD5sum: 747d829b4104f9db1b670739d520c4d5
SHA1: 9d88e93dabac72cd31791baffd530e14cb89db2c
SHA256: 4a5cf8663b1bdc8cc54ca302e596af9fd831c4642752c3a2a1ff6577de548681
SHA512: 56c157f3d4a56b0eca1c440335626541370d4f36cd5ae7dcb5aabbe2eb5ed1edb701eb07830cf88b86058d191fcf8b91ff8e7a79e7254c6811aa90a285bf4a5a
Homepage: https://github.com/linnarsson-lab/loompy
Description-en: access loom formatted files for bioinformatics
Loom is an efficient file format for very large omics datasets,
consisting of a main matrix, optional additional layers, a variable
number of row and column annotations. Loom also supports sparse
graphs. Loom files are used to store single-cell gene expression data:
the main matrix contains the actual expression values (one column per
cell, one row per gene); row and column annotations contain metadata
for genes and cells, such as Name, Chromosome, Position (for genes),
and Strain, Sex, Age (for cells).
.
Loom files (.loom) are created in the HDF5 file format, which supports
an internal collection of numerical multidimensional datasets. HDF5
is supported by many computer languages, including Java, MATLAB,
Mathematica, Python, R, and Julia. .loom files are accessible from any
language that supports HDF5.
Description-md5: c20c276e5759dd79ac82c9c68fadff5b