five

FragHub

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/10837522
下载链接
链接失效反馈
官方服务:
资源简介:
FragHub v1.2.4 Repository v8      INPUT_FILES downloaded in .mgf, .msp, .json or .csv) https://systemsomicslab.github.io/compms/msdial/main.html#MS https://github.com/MassBank/MassBank-data/releases/tag/2024.11 https://mona.fiehnlab.ucdavis.edu/downloads https://external.gnps2.org/gnpslibrary https://www.metaboanalyst.ca/docs/Databases.xhtml https://zenodo.org/records/8287341 https://zenodo.org/records/13911806   OUTPUT_FILES available in .csv, .json or .msp Integration results:       ===================== PARAMETERS =====================     normalize_intensity: ON     remove_peak_above_precursormz: ON     check_minimum_peak_requiered: ON     n_peaks: 3.0     reduce_peak_list: ON         max_peaks: 500.0     remove_spectrum_under_entropy_score: OFF         entropy_score_value: 0.5     keep_mz_in_range: ON         from_mz: 50.0         to_mz: 2000.0     check_minimum_of_high_peaks_requiered: ON         intensity_percent: 5         no_peaks: 2         reset_updates: NO              ======================= FILTERED OUT =======================     No peaks list: 0     No smiles, no inchi, no inchikey: 123401     No precursor mz: 9898     No or bad adduct: 4315818     Low entropy score: 0     Minimum peaks not required: 159243     All peaks above precursor mz: 3502     No peaks in mz range: 1006     Minimum high peaks not required: 93163              ================== SPECTRUM NUMBER ==================     POS LC Exp: 1056998     NEG LC Exp: 389093     POS LC InSilico: 233623     NEG LC InSilico: 228443     POS GC Exp: 46     NEG GC Exp: 0     POS GC InSilico: 1     NEG GC InSilico: 0       Total: 1908204          ================= UNIQUE INCHIKEYS ==================     POS LC Exp: 138374     NEG LC Exp: 80992     POS LC InSilico: 109085     NEG LC InSilico: 105233     POS GC Exp: 43     NEG GC Exp: 0     POS GC InSilico: 1     NEG GC InSilico: 0       TOTAL Unique InChIKeys: 304124
创建时间:
2025-01-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作