000			03484nam a22004095i 4500
999			_c2255 _d2255
001			978-1-4939-3743-1
003			DE-He213
005			20200806153249.0
007			cr nn 008mamaa
008			161103s2017 xxu| s |||| 0|eng d
020			_a9781493937431 (ebook)
020			_a9781493937417
024	7		_a10.1007/978-1-4939-3743-1 _2doi
040			_aSpringer Nature Metadata _beng _cMIU _dMIU_ain
050		4	_aQH324.25 _b.G46 2017
245	1	4	_aThe Gene Ontology Handbook / _cedited by Christophe Dessimoz, Nives Škunca.
250			_a1st ed. 2017.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Humana, _c2017.
300			_aXII, 305 p. 56 illus., 50 illus. in color.
490	1		_aMethods in Molecular Biology, _x1064-3745 ; _v1446
505	0		_aPrimer on Ontologies -- The Gene Ontology and the Meaning of Biological Function -- Primer on the Gene Ontology -- Best Practices in Manual Annotation with the Gene Ontology -- Computational Methods for Annotation Transfers from Sequence -- Text Mining to Support Gene Ontology Curation and Vice Versa -- How Does the Scientific Community Contribute to Gene Ontology? -- Evaluating Computational Gene Ontology Annotations -- Evaluating Functional Annotations of Enzymes Using the Gene Ontology -- Community-Based Evaluation of Computational Function Prediction -- Get GO!: Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools -- Semantic Similarity in the Gene Ontology -- Gene-Category Analysis -- Gene Ontology: Pitfalls, Biases, and Remedies -- Visualizing GO Annotations -- A Gene Ontology Tutorial in Python -- Annotation Extensions -- The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations -- Complementary Sources of Protein Functional Information: The Far Side of GO -- Integrating Bio-Ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes -- The Vision and Challenges of the Gene Ontology.
506	0		_aOpen Access
520			_aThis book is open access under a CC BY 4.0 license. This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system.
650		0	_aBioinformatics.
650	1	4	_aBioinformatics. _0https://scigraph.springernature.com/ontologies/product-market-codes/L15001
700	1		_aDessimoz, Christophe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aŠkunca, Nives. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9781493937417
776	0	8	_iPrinted edition: _z9781493937424
776	0	8	_iPrinted edition: _z9781493981267
830		0	_aMethods in Molecular Biology, _x1064-3745 ; _v1446
856	4	0	_uhttps://doi.org/10.1007/978-1-4939-3743-1
942			_2lcc _cBK