Expert curation in UniProtKB: a case study on dealing with conflicting and erroneous data.
about
The SIB Swiss Institute of Bioinformatics' resources: focus on curated databasesThe Confidence Information Ontology: a step towards a standard for asserting confidence in annotationsUniProt: a hub for protein informationProtein structure annotation resources.High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis.HAMAP in 2015: updates to the protein family classification and annotation systemData and programs in support of network analysis of genes and their association with diseases.Methyl transfer by substrate signaling from a knotted protein foldTOMATOMICS: A Web Database for Integrated Omics Information in Tomato.Archaeal Clusters of Orthologous Genes (arCOGs): An Update and Application for Analysis of Shared Features between Thermococcales, Methanococcales, and MethanobacterialesA manual curation strategy to improve genome annotation: application to a set of haloarchael genomes.Finding New Order in Biological Functions from the Network Structure of Gene Annotations.CARFMAP: A Curated Pathway Map of Cardiac Fibroblasts.Supervised Learning for Detection of Duplicates in Genomic Sequence Databases.Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study.The UniProtKB guide to the human proteome.Functional Annotations of Paralogs: A Blessing and a CurseUniProt: the universal protein knowledgebaseFrom the research laboratory to the database: the Caenorhabditis elegans kinome in UniProtKBGenetic variations and diseases in UniProtKB/Swiss-Prot: the ins and outs of expert manual curation.Evaluating Computational Gene Ontology Annotations.Text Mining to Support Gene Ontology Curation and Vice Versa.Best Practices in Manual Annotation with the Gene Ontology.Strategies to improve usability and preserve accuracy in biological sequence databases.An Extended, Boolean Model of the Septation Initiation Network in S.Pombe Provides Insights into Its Regulation.eGenPub, a text mining system for extending computationally mapped bibliography for UniProt Knowledgebase by capturing centrality.On expert curation and scalability: UniProtKB/Swiss-Prot as a case study.Deep learning of mutation-gene-drug relations from the literature.Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.Scaling up data curation using deep learning: An application to literature triage in genomic variation resourcesConsiderations for Optimization of High-Throughput Sequencing Bioinformatics Pipelines for Virus Detection
P2860
Q27968301-C1E30B30-79C1-4B43-9B7A-975336FDF1F9Q28647782-F382C65E-42D2-4DC8-8812-0EA8CDA384A3Q29547457-97377F93-F3AD-4B29-B844-CDA59FF94DA1Q30369659-31C8995A-CF11-4B8A-81D9-F706FD554120Q30856812-A5AC8A9E-9C1A-46D1-8800-842FB52F235DQ30864270-C8E7A5EC-CAEB-4CEC-8F64-7C4E893FBC8AQ31120883-D8D34D4A-3D03-45C3-B22F-EB377B076DF2Q33675873-44EE329B-3664-413F-B7D4-62C5911F6A7FQ33727693-3B567C88-B03D-4C45-8770-FC1B91C96A48Q35334249-F2492AA3-A648-4E9D-B69D-3C6ECCFBED78Q35845538-552019FF-57BA-4EF0-AD86-DB750462DE1EQ35847146-E7FAE462-0BA9-432B-B1D2-55D4D645F61FQ35870213-F7A4E8CB-0FED-4CE5-AD4B-B07D6E7D9A46Q36094603-D243C8FB-4038-440D-A3F1-A02C98C39110Q36246859-17D1A8D7-CF04-4A92-BA62-0AF2AF7C09B0Q36599701-A20CAFC4-3431-4789-80B3-E623F7AD4C4BQ37293854-275B7B7A-857F-4CF9-8D88-55F4FA617DDFQ37556842-544A3F74-0406-4AB5-B9E8-1C25828F74F2Q37622786-8F19887C-B861-4D65-8487-6D61576B4DA6Q38213497-20EF3B47-191A-4FC0-8E62-2CD7D1E565F7Q38440680-7DB766B6-4BDD-461F-A250-EAC016079203Q38440690-D574E9EC-8C1C-41F8-84FB-8CED41D6800DQ38440697-7BCEA922-207B-440B-9E1A-8CF76DB5F748Q39486821-3FEDC961-0905-4DF0-9538-F6E4ED4A2F5DQ41883136-2169E604-2200-443F-BD99-5C018BAEC68DQ45818879-5E83B32A-7FA3-4680-9C4E-E670A4EBD55DQ47313936-3B9F4357-8721-49CB-952A-CEB60029F172Q49449222-0F468677-3E34-4BD1-BCFA-E8D28F9C51FFQ55014759-05E8275D-7584-4AEA-8B7E-E0F792DA1647Q56888310-3A546A10-462A-45D4-B806-FA9B8533F0E9Q59126817-CACD2663-30F7-44EF-85A9-842BA5609954
P2860
Expert curation in UniProtKB: a case study on dealing with conflicting and erroneous data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մարտին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@ast
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@en
type
label
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@ast
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@en
prefLabel
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@ast
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@en
P2860
P50
P356
P1433
P1476
Expert curation in UniProtKB: ...... onflicting and erroneous data.
@en
P2093
Kati Laiho
UniProt Consortium
P2860
P304
P356
10.1093/DATABASE/BAU016
P577
2014-03-12T00:00:00Z