Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:academic_journal
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:John_Sulston
gptkb:The_Salk_Institute_for_Biological_Studies |
| gptkbp:archives |
green open access
|
| gptkbp:associated_with |
gptkb:Nature_Research
|
| gptkbp:discipline |
gptkb:Company
|
| gptkbp:editor |
gptkb:Gavin_J._Mac_Beath
|
| gptkbp:field |
life sciences
|
| gptkbp:first_published |
gptkb:2004
|
| gptkbp:frequency |
monthly
|
| https://www.w3.org/2000/01/rdf-schema#label |
Nature Methods
|
| gptkbp:impact |
30.426
|
| gptkbp:is_cited_in |
gptkb:APA
|
| gptkbp:issn |
1548-7091
|
| gptkbp:language |
English
|
| gptkbp:narrative_style |
international
|
| gptkbp:profession |
gptkb:CRISPR_technology
gptkb:item RNA biology molecular biology analytical chemistry environmental science field studies public health toxicology cell biology clinical trials bioinformatics biomedical engineering data science pharmacology clinical research neuroscience bioinformatics tools biostatistics laboratory techniques microbiology genomics epidemiology high-throughput screening computational biology health informatics biophysics imaging proteomics systems biology gene editing structural biology metabolomics translational medicine protein engineering single-cell analysis chemical biology cellular engineering machine learning in biology |
| gptkbp:publisher |
gptkb:Nature_Publishing_Group
|
| gptkbp:type |
peer-reviewed
|
| gptkbp:type_of |
gptkb:XMPP_Extension_Protocol
methods research articles reviews |
| gptkbp:website |
https://www.nature.com/nmeth/
|