Mercurial > repos > fubar > jbrowse2
view x/static/js/6834.bc9e9f2b.chunk.js.map @ 125:49f3d3878413 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/jbrowse2 commit 5ea1f9c1eef1de76232e69aa6d34cda77d90d566
author | fubar |
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date | Sat, 05 Oct 2024 23:58:05 +0000 |
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{ BigBed } from '@gmod/bbi'\nimport BED from '@gmod/bed'\nimport {\n BaseFeatureDataAdapter,\n BaseOptions,\n} from '@jbrowse/core/data_adapters/BaseAdapter'\nimport { Region } from '@jbrowse/core/util/types'\nimport { openLocation } from '@jbrowse/core/util/io'\nimport { ObservableCreate } from '@jbrowse/core/util/rxjs'\nimport {\n doesIntersect2,\n max,\n min,\n Feature,\n SimpleFeature,\n} from '@jbrowse/core/util'\nimport { Observer } from 'rxjs'\nimport { SimpleFeatureSerializedNoId } from '@jbrowse/core/util/simpleFeature'\n\n// locals\nimport {\n isUcscProcessedTranscript,\n makeBlocks,\n ucscProcessedTranscript,\n} from '../util'\n\nexport default class BigBedAdapter extends BaseFeatureDataAdapter {\n private cached?: Promise<{\n bigbed: BigBed\n header: Awaited<ReturnType<BigBed['getHeader']>>\n parser: BED\n }>\n\n public async configurePre(opts?: BaseOptions) {\n const pm = this.pluginManager\n const bigbed = new BigBed({\n filehandle: openLocation(this.getConf('bigBedLocation'), pm),\n })\n const header = await bigbed.getHeader(opts)\n const parser = new BED({ autoSql: header.autoSql })\n return { bigbed, header, parser }\n }\n\n public async configure(opts?: BaseOptions) {\n if (!this.cached) {\n this.cached = this.configurePre(opts).catch((e: unknown) => {\n this.cached = undefined\n throw e\n })\n }\n return this.cached\n }\n\n public async getRefNames(opts?: BaseOptions) {\n const { header } = await this.configure(opts)\n return Object.keys(header.refsByName)\n }\n\n async getHeader(opts?: BaseOptions) {\n const { parser, header } = await this.configure(opts)\n const { version, fileType } = header\n const { fields, ...rest } = parser.autoSql\n return {\n version,\n fileType,\n autoSql: { ...rest },\n fields: Object.fromEntries(\n fields.map(({ name, comment }) => [name, comment]),\n ),\n }\n }\n\n public async getFeaturesHelper(\n query: Region,\n opts: BaseOptions,\n observer: Observer<Feature>,\n allowRedispatch: boolean,\n originalQuery = query,\n ) {\n const { signal } = opts\n const scoreColumn = this.getConf('scoreColumn')\n const aggregateField = this.getConf('aggregateField')\n const { parser, bigbed } = await this.configure(opts)\n const feats = await bigbed.getFeatures(\n query.refName,\n query.start,\n query.end,\n {\n signal,\n basesPerSpan: query.end - query.start,\n },\n )\n if (allowRedispatch && feats.length) {\n let minStart = Number.POSITIVE_INFINITY\n let maxEnd = Number.NEGATIVE_INFINITY\n for (const feat of feats) {\n if (feat.start < minStart) {\n minStart = feat.start\n }\n if (feat.end > maxEnd) {\n maxEnd = feat.end\n }\n }\n if (maxEnd > query.end || minStart < query.start) {\n await this.getFeaturesHelper(\n { ...query, start: minStart, end: maxEnd },\n opts,\n observer,\n false,\n query,\n )\n return\n }\n }\n\n const parentAggregation = {} as Record<\n string,\n SimpleFeatureSerializedNoId[]\n >\n\n if (feats.some(f => f.uniqueId === undefined)) {\n throw new Error('found uniqueId undefined')\n }\n for (const feat of feats) {\n const data = parser.parseLine(\n `${query.refName}\\t${feat.start}\\t${feat.end}\\t${feat.rest}`,\n { uniqueId: feat.uniqueId! },\n )\n\n const aggr = data[aggregateField]\n if (!parentAggregation[aggr]) {\n parentAggregation[aggr] = []\n }\n const {\n uniqueId,\n type,\n chromStart,\n chromStarts,\n blockStarts,\n blockCount,\n blockSizes,\n chromEnd,\n thickStart,\n thickEnd,\n chrom,\n score,\n ...rest\n } = data\n\n const subfeatures = blockCount\n ? makeBlocks({\n chromStarts,\n blockStarts,\n blockCount,\n blockSizes,\n uniqueId,\n refName: query.refName,\n start: feat.start,\n })\n : []\n\n if (isUcscProcessedTranscript(data)) {\n const f = ucscProcessedTranscript({\n ...rest,\n uniqueId,\n type,\n start: feat.start,\n end: feat.end,\n refName: query.refName,\n score: scoreColumn ? +data[scoreColumn] : score,\n chromStarts,\n blockCount,\n blockSizes,\n thickStart,\n thickEnd,\n subfeatures,\n })\n if (aggr) {\n parentAggregation[aggr].push(f)\n } else {\n if (\n doesIntersect2(\n f.start,\n f.end,\n originalQuery.start,\n originalQuery.end,\n )\n ) {\n observer.next(\n new SimpleFeature({ id: `${this.id}-${uniqueId}`, data: f }),\n )\n }\n }\n } else {\n if (\n doesIntersect2(\n feat.start,\n feat.end,\n originalQuery.start,\n originalQuery.end,\n )\n ) {\n observer.next(\n new SimpleFeature({\n id: `${this.id}-${uniqueId}`,\n data: {\n ...rest,\n uniqueId,\n type,\n start: feat.start,\n score: scoreColumn ? +data[scoreColumn] : score,\n end: feat.end,\n refName: query.refName,\n subfeatures,\n },\n }),\n )\n }\n }\n }\n\n Object.entries(parentAggregation).map(([name, subfeatures]) => {\n const s = min(subfeatures.map(f => f.start))\n const e = max(subfeatures.map(f => f.end))\n if (doesIntersect2(s, e, originalQuery.start, originalQuery.end)) {\n const { uniqueId, strand } = subfeatures[0]!\n observer.next(\n new SimpleFeature({\n id: `${this.id}-${uniqueId}-parent`,\n data: {\n type: 'gene',\n subfeatures,\n strand,\n name,\n start: s,\n end: e,\n refName: query.refName,\n },\n }),\n )\n }\n })\n observer.complete()\n }\n public getFeatures(query: Region, opts: BaseOptions = {}) {\n return ObservableCreate<Feature>(async observer => {\n try {\n await this.getFeaturesHelper(query, opts, observer, true)\n } catch (e) {\n observer.error(e)\n }\n }, opts.signal)\n }\n\n public freeResources(): void {}\n}\n","import BED from '@gmod/bed'\nimport { SimpleFeature } from '@jbrowse/core/util'\n\nexport interface MinimalFeature {\n type: string\n start: number\n end: number\n refName: string\n [key: string]: unknown\n}\nexport interface TranscriptFeat extends MinimalFeature {\n thickStart: number\n thickEnd: number\n blockCount: number\n blockSizes: number[]\n chromStarts: number[]\n refName: string\n strand?: number\n subfeatures: MinimalFeature[]\n}\n\nexport function ucscProcessedTranscript(feature: TranscriptFeat) {\n const {\n subfeatures: oldSubfeatures,\n thickStart,\n thickEnd,\n blockCount,\n blockSizes,\n chromStarts,\n refName,\n strand = 0,\n ...rest\n } = feature\n\n if (!thickStart || !thickEnd || !strand) {\n return feature\n }\n\n const subfeatures: MinimalFeature[] = []\n oldSubfeatures\n .filter(child => child.type === 'block')\n .sort((a, b) => a.start - b.start)\n .forEach(block => {\n const start = block.start\n const end = block.end\n if (thickStart >= end) {\n // left-side UTR\n const prime = strand > 0 ? 'five' : 'three'\n subfeatures.push({\n type: `${prime}_prime_UTR`,\n start,\n end,\n refName,\n })\n } else if (thickStart > start && thickStart < end && thickEnd >= end) {\n // UTR | CDS\n const prime = strand > 0 ? 'five' : 'three'\n subfeatures.push(\n {\n type: `${prime}_prime_UTR`,\n start,\n end: thickStart,\n refName,\n },\n {\n type: 'CDS',\n start: thickStart,\n end,\n refName,\n },\n )\n } else if (thickStart <= start && thickEnd >= end) {\n // CDS\n subfeatures.push({\n type: 'CDS',\n start,\n end,\n refName,\n })\n } else if (thickStart > start && thickStart < end && thickEnd < end) {\n // UTR | CDS | UTR\n const leftPrime = strand > 0 ? 'five' : 'three'\n const rightPrime = strand > 0 ? 'three' : 'five'\n subfeatures.push(\n {\n type: `${leftPrime}_prime_UTR`,\n start,\n end: thickStart,\n refName,\n },\n {\n type: 'CDS',\n start: thickStart,\n end: thickEnd,\n refName,\n },\n {\n type: `${rightPrime}_prime_UTR`,\n start: thickEnd,\n end,\n refName,\n },\n )\n } else if (thickStart <= start && thickEnd > start && thickEnd < end) {\n // CDS | UTR\n const prime = strand > 0 ? 'three' : 'five'\n subfeatures.push(\n {\n type: 'CDS',\n start,\n end: thickEnd,\n refName,\n },\n {\n type: `${prime}_prime_UTR`,\n start: thickEnd,\n end,\n refName,\n },\n )\n } else if (thickEnd <= start) {\n // right-side UTR\n const prime = strand > 0 ? 'three' : 'five'\n subfeatures.push({\n type: `${prime}_prime_UTR`,\n start,\n end,\n refName,\n })\n }\n })\n\n return { ...rest, strand, type: 'mRNA', refName, subfeatures }\n}\n\nfunction defaultParser(fields: string[], line: string) {\n const obj = Object.fromEntries(\n line.split('\\t').map((f, i) => [fields[i]!, f] as const),\n )\n const {\n blockStarts,\n blockCount,\n chromStarts,\n thickEnd,\n thickStart,\n blockSizes,\n ...rest\n } = obj\n\n return {\n ...rest,\n blockStarts: blockStarts?.split(',').map(r => +r),\n chromStarts: chromStarts?.split(',').map(r => +r),\n blockSizes: blockSizes?.split(',').map(r => +r),\n thickStart: thickStart ? +thickStart : undefined,\n thickEnd: thickEnd ? +thickEnd : undefined,\n blockCount: blockCount ? +blockCount : undefined,\n } as Record<string, unknown>\n}\n\nexport function makeBlocks({\n start,\n uniqueId,\n refName,\n chromStarts,\n blockCount,\n blockSizes,\n blockStarts,\n}: {\n blockCount: number\n start: number\n uniqueId: string\n refName: string\n chromStarts?: number[]\n blockSizes: number[]\n blockStarts?: number[]\n}) {\n const subfeatures = []\n const starts = chromStarts || blockStarts || []\n for (let b = 0; b < blockCount; b++) {\n const bmin = (starts[b] || 0) + start\n const bmax = bmin + (blockSizes[b] || 0)\n subfeatures.push({\n uniqueId: `${uniqueId}-${b}`,\n start: bmin,\n end: bmax,\n refName,\n type: 'block',\n })\n }\n return subfeatures\n}\nexport function featureData(\n line: string,\n colRef: number,\n colStart: number,\n colEnd: number,\n scoreColumn: string,\n parser: BED,\n uniqueId: string,\n names?: string[],\n) {\n const l = line.split('\\t')\n const refName = l[colRef]!\n const start = +l[colStart]!\n const colSame = colStart === colEnd ? 1 : 0\n const end = +l[colEnd]! + colSame\n const data = names\n ? defaultParser(names, line)\n : parser.parseLine(line, { uniqueId })\n\n const {\n blockCount,\n blockSizes,\n blockStarts,\n chromStarts,\n thickStart,\n thickEnd,\n type,\n score,\n chrom: _1,\n chromStart: _2,\n chromEnd: _3,\n ...rest\n } = data\n const subfeatures = blockCount\n ? makeBlocks({\n start,\n uniqueId,\n refName,\n chromStarts,\n blockCount,\n blockSizes,\n blockStarts,\n })\n : []\n const f = {\n ...rest,\n type,\n score: scoreColumn ? +data[scoreColumn] : score,\n start,\n end,\n refName,\n uniqueId,\n subfeatures,\n }\n return new SimpleFeature({\n id: uniqueId,\n data: isUcscProcessedTranscript(data)\n ? ucscProcessedTranscript({\n thickStart: thickStart!,\n thickEnd: thickEnd!,\n blockCount: blockCount!,\n blockSizes: blockSizes!,\n chromStarts: chromStarts,\n ...f,\n })\n : f,\n })\n}\n\nexport function isUcscProcessedTranscript(f: {\n thickStart?: number\n blockCount?: number\n strand?: number\n}) {\n return f.thickStart && f.blockCount && f.strand !== 0\n}\n"],"names":["BigBedAdapter","BaseFeatureDataAdapter","configurePre","opts","pm","this","pluginManager","bigbed","BigBed","filehandle","openLocation","getConf","header","getHeader","parser","BED","autoSql","configure","cached","catch","e","undefined","getRefNames","Object","keys","refsByName","version","fileType","fields","rest","fromEntries","map","name","comment","getFeaturesHelper","query","observer","allowRedispatch","originalQuery","signal","scoreColumn","aggregateField","feats","getFeatures","refName","start","end","basesPerSpan","length","minStart","Number","POSITIVE_INFINITY","maxEnd","NEGATIVE_INFINITY","feat","parentAggregation","some","f","uniqueId","Error","data","parseLine","aggr","type","chromStart","chromStarts","blockStarts","blockCount","blockSizes","chromEnd","thickStart","thickEnd","chrom","score","subfeatures","makeBlocks","isUcscProcessedTranscript","ucscProcessedTranscript","push","doesIntersect2","next","SimpleFeature","id","entries","s","min","max","strand","complete","ObservableCreate","async","error","freeResources","feature","oldSubfeatures","filter","child","sort","a","b","forEach","block","prime","leftPrime","rightPrime","starts","bmin","bmax","featureData","line","colRef","colStart","colEnd","names","l","split","colSame","obj","i","r","defaultParser","_1","_2","_3"],"sourceRoot":""}