207 related articles for article (PubMed ID: 36786403)
1. DBDIpy: a Python library for processing of untargeted datasets from real-time plasma ionization mass spectrometry.
Weidner L; Hemmler D; Rychlik M; Schmitt-Kopplin P
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36786403
[TBL] [Abstract][Full Text] [Related]
2. scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data.
Faure L; Soldatov R; Kharchenko PV; Adameyko I
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36394263
[TBL] [Abstract][Full Text] [Related]
3. MobilityTransformR: an R package for effective mobility transformation of CE-MS data.
Salzer L; Witting M; Schmitt-Kopplin P
Bioinformatics; 2022 Aug; 38(16):4044-4045. PubMed ID: 35781328
[TBL] [Abstract][Full Text] [Related]
4. The nPYc-Toolbox, a Python module for the pre-processing, quality-control and analysis of metabolic profiling datasets.
Sands CJ; Wolfer AM; Correia GDS; Sadawi N; Ahmed A; Jiménez B; Lewis MR; Glen RC; Nicholson JK; Pearce JTM
Bioinformatics; 2019 Dec; 35(24):5359-5360. PubMed ID: 31350543
[TBL] [Abstract][Full Text] [Related]
5. Pygenprop: a Python library for programmatic exploration and comparison of organism genome properties.
Bergstrand LH; Neufeld JD; Doxey AC
Bioinformatics; 2019 Dec; 35(23):5063-5065. PubMed ID: 31240307
[TBL] [Abstract][Full Text] [Related]
6. pyOpenMS: a Python-based interface to the OpenMS mass-spectrometry algorithm library.
Röst HL; Schmitt U; Aebersold R; Malmström L
Proteomics; 2014 Jan; 14(1):74-7. PubMed ID: 24420968
[TBL] [Abstract][Full Text] [Related]
7. msproteomics sitereport: reporting DIA-MS phosphoproteomics experiments at site level with ease.
Pham TV; Henneman AA; Truong NX; Jimenez CR
Bioinformatics; 2024 Jun; ():. PubMed ID: 38944032
[TBL] [Abstract][Full Text] [Related]
8. GSEApy: a comprehensive package for performing gene set enrichment analysis in Python.
Fang Z; Liu X; Peltz G
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36426870
[TBL] [Abstract][Full Text] [Related]
9. Unified and Standardized Mass Spectrometry Data Processing in Python Using spectrum_utils.
Bittremieux W; Levitsky L; Pilz M; Sachsenberg T; Huber F; Wang M; Dorrestein PC
J Proteome Res; 2023 Feb; 22(2):625-631. PubMed ID: 36688502
[TBL] [Abstract][Full Text] [Related]
10. pyFoldX: enabling biomolecular analysis and engineering along structural ensembles.
Radusky LG; Serrano L
Bioinformatics; 2022 Apr; 38(8):2353-2355. PubMed ID: 35176149
[TBL] [Abstract][Full Text] [Related]
11. MetumpX-a metabolomics support package for untargeted mass spectrometry.
Wajid B; Iqbal H; Jamil M; Rafique H; Anwar F
Bioinformatics; 2020 Mar; 36(5):1647-1648. PubMed ID: 31596440
[TBL] [Abstract][Full Text] [Related]
12. PyIOmica: longitudinal omics analysis and trend identification.
Domanskyi S; Piermarocchi C; Mias GI
Bioinformatics; 2020 Apr; 36(7):2306-2307. PubMed ID: 31778155
[TBL] [Abstract][Full Text] [Related]
13. Analysing high-throughput sequencing data in Python with HTSeq 2.0.
Putri GH; Anders S; Pyl PT; Pimanda JE; Zanini F
Bioinformatics; 2022 May; 38(10):2943-2945. PubMed ID: 35561197
[TBL] [Abstract][Full Text] [Related]
14. A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository.
Smelter A; Moseley HNB
Metabolomics; 2018; 14(5):64. PubMed ID: 29706851
[TBL] [Abstract][Full Text] [Related]
15. CluMSID: an R package for similarity-based clustering of tandem mass spectra to aid feature annotation in metabolomics.
Depke T; Franke R; Brönstrup M
Bioinformatics; 2019 Sep; 35(17):3196-3198. PubMed ID: 30649189
[TBL] [Abstract][Full Text] [Related]
16. peakPantheR, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC-MS profiling datasets.
Wolfer AM; D S Correia G; Sands CJ; Camuzeaux S; Yuen AHY; Chekmeneva E; Takáts Z; Pearce JTM; Lewis MR
Bioinformatics; 2021 Dec; 37(24):4886-4888. PubMed ID: 34125879
[TBL] [Abstract][Full Text] [Related]
17. MINE 2.0: enhanced biochemical coverage for peak identification in untargeted metabolomics.
Strutz J; Shebek KM; Broadbelt LJ; Tyo KEJ
Bioinformatics; 2022 Jun; 38(13):3484-3487. PubMed ID: 35595247
[TBL] [Abstract][Full Text] [Related]
18. RawHummus: an R Shiny app for automated raw data quality control in metabolomics.
Dong Y; Kazachkova Y; Gou M; Morgan L; Wachsman T; Gazit E; Birkler RID
Bioinformatics; 2022 Mar; 38(7):2072-2074. PubMed ID: 35080628
[TBL] [Abstract][Full Text] [Related]
19. orfipy: a fast and flexible tool for extracting ORFs.
Singh U; Wurtele ES
Bioinformatics; 2021 Sep; 37(18):3019-3020. PubMed ID: 33576786
[TBL] [Abstract][Full Text] [Related]
20. Immunopeptidomics toolkit library (IPTK): a python-based modular toolbox for analyzing immunopeptidomics data.
ElAbd H; Degenhardt F; Koudelka T; Kamps AK; Tholey A; Bacher P; Lenz TL; Franke A; Wendorff M
BMC Bioinformatics; 2021 Aug; 22(1):405. PubMed ID: 34404349
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
