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authorMartin Czygan <martin.czygan@gmail.com>2020-11-24 23:51:40 +0100
committerMartin Czygan <martin.czygan@gmail.com>2020-11-24 23:51:40 +0100
commit268e7948e6fa2ee9871430104f60bdab3212464c (patch)
treeb25b96f17767a4f9fdd72e73ccbb5d7b41050314 /tests/fixtures/release/unwrwze6znf5xouud35i3jlneq
parent48d9265ce97e032e4f5fd2aaa3bde7fb8f49d6c5 (diff)
downloadfuzzycat-268e7948e6fa2ee9871430104f60bdab3212464c.tar.gz
fuzzycat-268e7948e6fa2ee9871430104f60bdab3212464c.zip
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-{
- "abstracts": [
- {
- "content": "Discovering all the genetic causes of a phenotype is an important goal in\nfunctional genomics. In this paper we combine an experimental design for\nmultiple independent detections of the genetic causes of a phenotype, with a\nhigh-throughput sequencing analysis that maximizes sensitivity for\ncomprehensively identifying them. Testing this approach on a set of 24 mutant\nstrains generated for a metabolic phenotype with many known genetic causes, we\nshow that this pathway-based phenotype sequencing analysis greatly improves\nsensitivity of detection compared with previous methods, and reveals a wide\nrange of pathways that can cause this phenotype. We demonstrate our approach on\na metabolic re-engineering phenotype, the PEP/OAA metabolic node in E. coli,\nwhich is crucial to a substantial number of metabolic pathways and under\nrenewed interest for biofuel research. Out of 2157 mutations in these strains,\npathway-phenoseq discriminated just five gene groups (12 genes) as\nstatistically significant causes of the phenotype. Experimentally, these five\ngene groups, and the next two high-scoring pathway-phenoseq groups, either have\na clear connection to the PEP metabolite level or offer an alternative path of\nproducing oxaloacetate (OAA), and thus clearly explain the phenotype. These\nhigh-scoring gene groups also show strong evidence of positive selection\npressure, compared with strictly neutral selection in the rest of the genome.",
- "lang": "en",
- "mimetype": "text/plain",
- "sha1": "fd1f89a43ea07ef7825734043c9d9bd56872300e"
- }
- ],
- "contribs": [
- {
- "index": 0,
- "raw_name": "Marc Harper",
- "role": "author"
- },
- {
- "index": 1,
- "raw_name": "Luisa Gronenberg",
- "role": "author"
- },
- {
- "index": 2,
- "raw_name": "James Liao",
- "role": "author"
- },
- {
- "index": 3,
- "raw_name": "Christopher Lee",
- "role": "author"
- }
- ],
- "ext_ids": {
- "arxiv": "1303.0455v1"
- },
- "extra": {
- "arxiv": {
- "base_id": "1303.0455",
- "categories": [
- "q-bio.QM",
- "q-bio.GN"
- ]
- }
- },
- "ident": "unwrwze6znf5xouud35i3jlneq",
- "language": "en",
- "license_slug": "ARXIV-1.0",
- "refs": [],
- "release_date": "2013-03-03",
- "release_stage": "submitted",
- "release_type": "article",
- "release_year": 2013,
- "revision": "d66823db-c3dd-4981-8d79-6ee5b66b358c",
- "state": "active",
- "title": "Comprehensive Detection of Genes Causing a Phenotype using Phenotype\n Sequencing and Pathway Analysis",
- "version": "v1",
- "work_id": "a5fegh5iyrfwpc32y33envrime"
-}