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Wenk"},"license":"MIT","homepage":"https://github.com/cheminfo/nmr-correlation#readme","repository":{"type":"git","url":"git+https://github.com/cheminfo/nmr-correlation.git"},"description":"Build and manipulation of correlations from 1D and 2D NMR data","maintainers":[{"name":"targos","email":"npm@secmail.targos.dev"},{"name":"lpatiny","email":"luc@patiny.com"},{"name":"cheminfo-bot","email":"bot+npm-cheminfo@zakodium.com"},{"name":"michaelwenk","email":"michael.wenk@uni-jena.de"}],"readme":"# nmr-correlation\n\n[![NPM version][npm-image]][npm-url]\n[![npm download][download-image]][download-url]\n\nThis package provides methods to build correlation data from NMR spectra. The NMR dataset has to be already processed and given in a certain format (see below).\n\nMainly, this is done by a grouping of signals with same nuclei between 1D and 2D or 2D and 2D NMR spectra. Each group is then represented by one correlation.\n\nIf a molecular formula is given, then missing correlations will be added as placeholder to complete the list.\n\nAnother feature is to determine the number of attached protons by using information from DEPT 90/135 or multiplicity-edited HSQC.\n\n## Input\n\n### Spectra\n\n- array of 1D, 2D, DEPT 90/135 spectra, e.g. obtained by [nmr-load-save](https://github.com/cheminfo/nmr-load-save)\n- each spectrum has to be processed, e.g. via [nmr-processing](https://github.com/cheminfo/nmr-processing)\n- declared type for spectra is\n\n```ts\ntype Spectra = Array<Spectrum1D | Spectrum2D>;\n```\n\n- further type definitions are available in `src/types`\n\n### Options\n\n- tolerances (must be given for each occurring atom type in spectra)\n- molecular formula (optional)\n\n### Values\n\n- optional, previously built correlations\n- useful to not override the following information if it is set to `true` in `edited` property:\n  - hybridization, equivalence, protonsCount\n\n## Output\n\n### State\n\n- for each atom type with at least one correlation\n- current number of correlations\n- some error information according to a given molecular formula\n\n### Values\n\nAn array of correlations with following content:\n\n- link (array)\n  - signal, axis (1D/2D signal and current axis which links to signals in another spectra)\n  - match (indices of correlations with signal shift matches)\n  - pseudo (whether this link is artificial)\n  - some further meta information\n- attachment (contains indices of each attached correlation/atom)\n- protonsCount (array of possible numbers of attached protons)\n- equivalence (number of equivalences, default is 1)\n- hybridization (not set, except a CH3 group was detected)\n- pseudo (whether this is a placeholder, e.g. if molecular formula is given)\n- some further meta information, e.g. the group representing signal\n\n## Installation\n\n`$ npm i nmr-correlation`\n\n## Usage\n\n```js\nimport { fromJCAMP } from 'nmr-parser';\nimport { buildCorrelationData } from 'nmr-correlation';\n\n// parse spectra (symbolic example)\nconst data1H = fromJCAMP('1h.dx');\nconst data13C = fromJCAMP('13C.dx');\nconst dataHSQC = fromJCAMP('hsqc.dx');\nconst dataHMBC = fromJCAMP('hmbc.dx');\nconst dataCOSY = fromJCAMP('cosy.dx');\nconst dataDEPT90 = fromJCAMP('dept90.dx');\nconst dataDEPT135 = fromJCAMP('dept135.dx');\n\n// process data (ranges/zones picking)\n// ...\n// put all the information together into specified format\n// ...\n\n// combine spectra into one array\nconst spectra = [\n  data1H,\n  data13C,\n  dataHSQC,\n  dataHMBC,\n  dataCOSY,\n  dataDEPT90,\n  dataDEPT135,\n];\n// create options\nconst options = {\n  tolerance: {\n    C: 0.25,\n    H: 0.02,\n  },\n  mf: 'C11H14N2O', // molecular formula\n};\n// build correlation data\nconst correlationData = buildCorrelationData(spectra, options);\n```\n\n## License\n\n[MIT](./LICENSE)\n\n[npm-image]: https://img.shields.io/npm/v/nmr-correlation.svg\n[npm-url]: https://www.npmjs.com/package/nmr-correlation\n[download-image]: https://img.shields.io/npm/dm/nmr-correlation.svg\n[download-url]: https://www.npmjs.com/package/nmr-correlation\n","readmeFilename":"README.md"}