Skip to main content

Python based toolkit for temporal molecular biology

Project description

PyCycle sketch logo small

Python based toolkit for temporal molecular biology analysis

Input data with columns denoting samples and rows denoting biological molecules. Input data is assessed for variance. Variant rows are modelled using 4 equations. The model with lowest residuals is reported, alongside model parameters and statistics.

https://github.com/Glycocalex/PyCycle-bio

https://pypi.org/project/pycyclebio/

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.

pycyclebio-0.0.10-cp311-none-win_amd64.whl (125.1 kB view details)

Uploaded CPython 3.11Windows x86-64

pycyclebio-0.0.10-cp311-cp311-manylinux_2_34_x86_64.whl (258.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64

pycyclebio-0.0.10-cp311-cp311-macosx_11_0_arm64.whl (225.3 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pycyclebio-0.0.10-cp310-none-win_amd64.whl (125.1 kB view details)

Uploaded CPython 3.10Windows x86-64

pycyclebio-0.0.10-cp310-cp310-manylinux_2_34_x86_64.whl (258.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64

pycyclebio-0.0.10-cp310-cp310-macosx_11_0_arm64.whl (225.3 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pycyclebio-0.0.10-cp39-none-win_amd64.whl (125.1 kB view details)

Uploaded CPython 3.9Windows x86-64

pycyclebio-0.0.10-cp39-cp39-manylinux_2_34_x86_64.whl (257.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.34+ x86-64

pycyclebio-0.0.10-cp39-cp39-macosx_11_0_arm64.whl (225.2 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pycyclebio-0.0.10-cp38-none-win_amd64.whl (125.3 kB view details)

Uploaded CPython 3.8Windows x86-64

pycyclebio-0.0.10-cp38-cp38-manylinux_2_34_x86_64.whl (258.1 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.34+ x86-64

pycyclebio-0.0.10-cp38-cp38-macosx_11_0_arm64.whl (225.2 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

File details

Details for the file pycyclebio-0.0.10-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycyclebio-0.0.10-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 125.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for pycyclebio-0.0.10-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 d2a054b7e21a2c1713cc79cba50e774ec51d954d5af5deb7f55f202462879321
MD5 7ac6ca4651e1b2b19cbe7b3a8549f1f0
BLAKE2b-256 89f9fd4ca2b25ee30737a00dfeb625f28f9372c350dea09f8cb42f2f70410c1c

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 5d09019a222e9b3e0e5a9537dacb7d0d41acc315286ba573ba05f49350d1e202
MD5 f83736011f3ff3b897fb2dc057807689
BLAKE2b-256 4a36dd276ed644ea2ccac4109653162d981e407084c50620fc06106c11a16f61

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 313a2f32022a78dde2787841e338bdf214ea48e8f670cdd0ce029fae22311899
MD5 eb7dc4b50401a6da90fa1cd94fecf184
BLAKE2b-256 8e65ad1f790d15dbb3de30d6dc2b3289addcb718fe42081c7a55c8a53de3c440

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycyclebio-0.0.10-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 125.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.11

File hashes

Hashes for pycyclebio-0.0.10-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 f6fcad024e2ca24cbc36cbfaccd1428d63fe95294106bdc4f5d9a705c6cf0c3b
MD5 b2ec01ad5d129779641de8657d632040
BLAKE2b-256 4c84844973d3d51e711eacec032d7cece9a3b0c9a61961b9e1c697218c9b880b

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 3940c3c7134aaa6837ac3749258e863d568eba0d2ecf966b5ab66a36e53cba48
MD5 640ce4609359ae5c2d6afd89f5a109a7
BLAKE2b-256 f6298df69aa7df1398114afaa3699ff09fb3c5300435951d8423519e40ad4d79

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4d7b6408c821ad80cf5ae20e18f59bc63c6607bdec88289fd829dac970c9879a
MD5 2b68464a5dcc629fe2dc23cd695f2738
BLAKE2b-256 916639983bcee6daa20ffb914cb8156631e844dfbe3504be3d4467e53801dbd5

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycyclebio-0.0.10-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 125.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.13

File hashes

Hashes for pycyclebio-0.0.10-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 1ae445659ce887963604f9e91afe92fa5df3dcd0953b2db84bc69a7595a7e9fa
MD5 6958fcc36d471eac967147de64176e82
BLAKE2b-256 5fb324116b93156c5a3dd6260c531919ae052b19506ec5491a1f9f61414a9d49

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp39-cp39-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp39-cp39-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 2ab4b338d9487a172e695d87bc871d30a8c6df2902de17fda8b8aa6b8af89b8c
MD5 979c9ddeb3e3e1e017702cc09873f047
BLAKE2b-256 0485c00526612aff19bb30459566e926618b6ad4820a7a6a63c5d1aca3f5fbce

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 30ae45d5980b4859cf5a341fb72f5c2c30ce3f1cd5e41c6d48cf26bacb2d9826
MD5 dbc426f180ca673ce5c06260dee17fae
BLAKE2b-256 3d7d0700808419eb4ca2386578a950777370374826bcee41030c1025d4ad1257

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycyclebio-0.0.10-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 125.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for pycyclebio-0.0.10-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 01330a09d882521ac34c7072c7081717c048977e71c5da2f18e07aa690631231
MD5 4116925c372c865b130eebbf8f2da4b9
BLAKE2b-256 6337ee2510ed70b819aca87897a9725e8b06960631a71f617be6a670f9871134

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp38-cp38-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp38-cp38-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 70ea37ffc2fa174ba93dd0daef75d8bac55a2cd58a76f4cb361228762de535e3
MD5 76f8ccd5a7436131776c5b37e256a3d3
BLAKE2b-256 249c9806d49da964bab044cb597c6f46921c1d0b70c8405e5acd4427a3593295

See more details on using hashes here.

File details

Details for the file pycyclebio-0.0.10-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pycyclebio-0.0.10-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8d44e55babafbaf905cbd6f1db7ad8d2f97e643638ee532794b56719de723e37
MD5 f8042f55098fc44c5757065981559712
BLAKE2b-256 2024ec8373d6bbed6148ddb837b26f2ca5df638bcfb3fa96e0f8ada3f218c8d9

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