Skip to main content

Sails: Software for the Automated Identification of Linked Sugars

Project description

Sails - Software for the Automated Identification of Linked Sugars

Overview

Sails is a software package for automatic addition of glycans to protein models obtained through X-ray crystallography.

Authors

Jordan Dialpuri - York Structural Biology Laboratory, University of York

Documentation

Link to Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pysails-0.3.0-cp312-cp312-musllinux_1_1_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ x86-64

pysails-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

pysails-0.3.0-cp312-cp312-macosx_11_0_arm64.whl (6.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pysails-0.3.0-cp312-cp312-macosx_10_14_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.12macOS 10.14+ x86-64

pysails-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

pysails-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

pysails-0.3.0-cp311-cp311-macosx_11_0_arm64.whl (6.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pysails-0.3.0-cp311-cp311-macosx_10_14_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.11macOS 10.14+ x86-64

pysails-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

pysails-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

pysails-0.3.0-cp310-cp310-macosx_11_0_arm64.whl (6.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pysails-0.3.0-cp310-cp310-macosx_10_14_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.10macOS 10.14+ x86-64

File details

Details for the file pysails-0.3.0-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 65e6845c396697b21d7d86b0355a7312dbda3de473f3ac921b959b5bc15eae1c
MD5 05030a99d2563d6b9e7f544557570fad
BLAKE2b-256 adf1a5c02b6324934044cbbc302d349865beeba31dac0041b5429daa69192385

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 44b68f4ff34f386a0c6c743ab48ff26dc87907bc1b2f2ac36063c9992115b596
MD5 bec6682b0f104ab2bfaaa6cb147c772f
BLAKE2b-256 5714fc0660a2c0ed13728819b3b478ae94777589c9ad297b6725605460d3f0f0

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a8b9892053755b600e90411c939248a3258eb96cc2f9434cf1a9f1ad5a0414a2
MD5 d7f26aa1f34a037380b8b82dd56d68f0
BLAKE2b-256 6da0fe9acff45c4101e282a64e7680ccd105df114b516cf9d79810da89e48fe3

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp312-cp312-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp312-cp312-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 75d3338924dad0c3bdb0dc6d0ca47a2d3f105eec9c60ad81b5cebb6fb50bd9b6
MD5 76ddcdb1fb56f9a4976d118ebc87c725
BLAKE2b-256 1378c371b508dc5ce138aa0443430aa61600e2f61eb86193ae21972d5832f9d0

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d388bc376aab7e8e98b3b0c20cf6be3f88b33ce20eb34b37bec5d4c3c3456733
MD5 be4c18027188c03ec987b366b0ed6200
BLAKE2b-256 1bd7a40b2073356ef71fa6a15f52933d19f4c1c00e704a2b772ab8a102298796

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 57d97c2546d9a8547bd8e12ce676cba0712d8c5fe71666643654a3bd4d625b2c
MD5 0a21462ea4f245bf75e8d0b1de24679d
BLAKE2b-256 e75fac245e6e34cf6b3e26a8dd0066394e3ab3692891ed17d0849d177a4a3e51

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 222caba4110a04868e3b8346db6770404e91a84f956b6e91feb77d4ea0096143
MD5 57af4b61c58494048797723446dfb832
BLAKE2b-256 992e878062c1a9bba46662c01a6f4a1905a891b209407363a63756dfd39545b1

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp311-cp311-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp311-cp311-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 75c2751d5c68fe153c94b1f44c6eccb116bea79001bccbd94b9a3ace5517248d
MD5 1f8371c2f2c673e1ba2e6602e483f20b
BLAKE2b-256 d818bd8db12132abf372963698c75ce9608220960985ae87afcc5be5aee6d4bb

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 569404e5f9dd29e9c9fb5bd7d0a861bf205c59b5f09ec461393a6495321941c9
MD5 07cbfd470f8b94ec9676542607facb70
BLAKE2b-256 35691730060ce6ab2b6543f9f1722def194244a6c665ad35f0dc1b30d0021120

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d584fbb9265ea105fc6cb4206e53544d90a5a3da244d8cc6957bbb7ac2196918
MD5 76a108667cd1f9bd7d6bf0d88686911a
BLAKE2b-256 a868b6f288fe6cf8c7cfd5b911298eef590bae9d5c21d04f3a36cfd5feae3416

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1925ed8ae855882e0edc29a671f70563eea2fa7a344eefd40fe5665c62c52f39
MD5 48967700b7350b82cfabfeac634acd5a
BLAKE2b-256 f6c53296ab9b1c91307a626a5e2e3bd77e90355016dac9f33d26553b459d3589

See more details on using hashes here.

File details

Details for the file pysails-0.3.0-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for pysails-0.3.0-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 2b6e91b9c1536d6a02d20d2910ceebc7d32a858f1af98dad3866733480a566df
MD5 4f8fb5a41aab3852ce0c34dd8b715e6d
BLAKE2b-256 83db0f54cae8480a7ba961a7ca55feec3b6bab408ef28c2ac3a782b70d37ac25

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page