Skip to main content

A feature detection LC-MS1 spectra.

Project description

biosaur2 - A feature detection LC-MS1 spectra. This project is a rewriten version of Biosaur software (https://github.com/abdrakhimov1/Biosaur).

The centroided mzML file is required for of the script.

Algorithm can be run with following command:

biosaur2 path_to_MZML

The script output contains tsv table with peptide features.

All available arguments can be shown with command "biosaur2 -h".

The default parameter minlh (the minimal number of consecutive scans for peptide feature) is 1 and this value is optimimal for ultra-short LC gradients (a few minutes). For the longer LC gradients, this value can be increased for reducing of feature detection time and removing noise isotopic clusters.

For TOF data please add "-tof" argument.

For PASEF data please convert mzML file using msconvert and '--combineIonMobilitySpectra --filter "msLevel 1" ' options. Do not use option --filter "scanSumming"! The latter is often required for MS/MS data analysis but breaks MS1 feature detection.

For negative mode data please add "-nm" argument.

Citing biosaur2

Abdrakhimov, et al. Biosaur: An open-source Python software for liquid chromatography-mass spectrometry peptide feature detection with ion mobility support. https://doi.org/10.1002/rcm.9045

Installation

Using the pip:

pip install biosaur2

Links

Project details


Download files

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

Source Distribution

biosaur2-0.2.6.tar.gz (149.2 kB view details)

Uploaded Source

Built Distributions

biosaur2-0.2.6-cp310-cp310-win_amd64.whl (120.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

biosaur2-0.2.6-cp310-cp310-musllinux_1_1_x86_64.whl (860.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

biosaur2-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (820.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

biosaur2-0.2.6-cp39-cp39-win_amd64.whl (120.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

biosaur2-0.2.6-cp39-cp39-musllinux_1_1_x86_64.whl (859.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

biosaur2-0.2.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (818.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

biosaur2-0.2.6-cp38-cp38-win_amd64.whl (121.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

biosaur2-0.2.6-cp38-cp38-musllinux_1_1_x86_64.whl (948.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

biosaur2-0.2.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (841.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

File details

Details for the file biosaur2-0.2.6.tar.gz.

File metadata

  • Download URL: biosaur2-0.2.6.tar.gz
  • Upload date:
  • Size: 149.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for biosaur2-0.2.6.tar.gz
Algorithm Hash digest
SHA256 e3744cf96e4dc59478a7b0a4c545d17dcb7cc31ef373cc7b5406740c6fb45ce3
MD5 8a1ea371194dc0fe46ec5d5b2d408856
BLAKE2b-256 0216439b099ce7882fe5e95e8ddfcaf31a1b4e42072a1e6bd3c3c23d9c83b253

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: biosaur2-0.2.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 120.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for biosaur2-0.2.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 153a573eeba0c44e623f1da85beb0c5531c93a9f446a253ccfdd2cc6fcd91de8
MD5 30467815a804ae918e9caba1f2cc9129
BLAKE2b-256 2ff9d91bda3280e2eafcf9ec356292213436c28d6480df5581a2f3a46a5d2ec6

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 19a5f566c3f26a6d83213fb8dad6c3c620bb9d3b081d83548bb3ee05073e467b
MD5 6fd55d28039784a9438fc4c0d5f16c6c
BLAKE2b-256 766d3429aea14a51865b968dd8e849d1c11518e12c536b0480497428e7720143

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1a34c7ff1a02252c8a943a3788d0b70f1bf6fb59d47f981ac87a11791e03e20a
MD5 9c48203ff5d8d75d7c2658d464e9b7f9
BLAKE2b-256 058eff36a42d53496c21eb1faa33e95b72c7356d68221a46067a04db99efbbae

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: biosaur2-0.2.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 120.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for biosaur2-0.2.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1c4865b0740a3335cbee6e2ab6f087c8e542a677536a5410b409cf837999daf8
MD5 86c1ec3116c749fa1d52ef087b725ec2
BLAKE2b-256 091105cc3f24ed45467edefed3b55f5556c1b03c7546589d33b955e05cdddd29

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a811a569566d83d6d3def316fe14408efd224403a9c50b79047cd2cea1ef5e15
MD5 01c3f56653afe8bc135831ff0b5847c5
BLAKE2b-256 fc03d082f4d4fe19950f3cbf9a9f8453353a0bff3aa4be2b0be451565cd64567

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5280a9402b6702363bbc148a723329c551d94e8d3f21727e8de6c630728d8805
MD5 0fdd195a4fd16089dd983b018e834192
BLAKE2b-256 5bd0eb96898fa74e6ff7004960ffc401d8979d47ec87eff078dade009c656c5c

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: biosaur2-0.2.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 121.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for biosaur2-0.2.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 10e7f2808c1aa4e1295c9860844a1a7b8af3ddc3e42e10083daf28295b7c7f71
MD5 4d62825ec8bc7f64ed1a4c299c03ddb2
BLAKE2b-256 e1ad272708653323402d0c7227284e50deaef74874295265c9ffedb55a70a487

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b9fd7a2d6304526d7cac81c414f0824e2370457f7c8187e85a5c7733b55f050a
MD5 5738068b56ebfe3549fabff5877ff130
BLAKE2b-256 73f7b30f9d536316d8d476aa1cb11e725321d5e6565d87d1e8cc9e3728f07571

See more details on using hashes here.

File details

Details for the file biosaur2-0.2.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for biosaur2-0.2.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7bb766aa9942b6db5cb1784980268a9b3a453a1c8159e996cc6a6bf8c8470ef8
MD5 ab06fbc859766fbb544be9be7f1cbc7f
BLAKE2b-256 710ceb019ceb1d21376330e99636d6a18aa83d79f3352b56827a496820e06b05

See more details on using hashes here.

Supported by

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