{"entity": "journal", "iuid": "cd6490188b18411382c0da821d528899", "timestamp": "2026-08-15T22:51:05.421Z", "links": {"self": {"href": "https://publications.scilifelab.se/journal/Annu.%20Rev.%20Biochem..json"}, "display": {"href": "https://publications.scilifelab.se/journal/Annu.%20Rev.%20Biochem."}}, "title": "Annu. Rev. Biochem.", "issn": "1545-4509", "issn-l": "0066-4154", "publications_count": 2, "publications": [{"entity": "publication", "iuid": "dbf3020544ba44c1b2aa92b11685c804", "links": {"self": {"href": "https://publications.scilifelab.se/publication/dbf3020544ba44c1b2aa92b11685c804.json"}, "display": {"href": "https://publications.scilifelab.se/publication/dbf3020544ba44c1b2aa92b11685c804"}}, "title": "Systems Biology of Metabolism.", "authors": [{"family": "Nielsen", "given": "Jens", "initials": "J", "orcid": "0000-0002-9955-6003", "researcher": {"href": "https://publications.scilifelab.se/researcher/7a596e289be4438a8a2653b1f25fea8b.json"}}], "type": "journal article", "published": "2017-06-20", "journal": {"volume": "86", "issn": "1545-4509", "issue": "1", "pages": "245-275", "title": "Annu. Rev. Biochem.", "issn-l": "0066-4154"}, "abstract": "Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented. Finally, the application of systems biology for analyzing global regulatory structures, engineering the metabolism of cell factories, and analyzing human diseases is discussed.", "doi": "10.1146/annurev-biochem-061516-044757", "pmid": "28301739", "labels": {"Systems Biology": "Technology development", "Bioinformatics Support, Infrastructure and Training": "Technology development", "Bioinformatics (NBIS)": "Technology development"}, "xrefs": [], "notes": [], "created": "2017-12-01T10:32:36.485Z", "modified": "2021-06-21T15:35:36.840Z"}, {"entity": "publication", "iuid": "1321ac0506224598ad24c5cb410e276b", "links": {"self": {"href": "https://publications.scilifelab.se/publication/1321ac0506224598ad24c5cb410e276b.json"}, "display": {"href": "https://publications.scilifelab.se/publication/1321ac0506224598ad24c5cb410e276b"}}, "title": "Toward the single-hour high-quality genome.", "authors": [{"family": "St\u00e5hl", "given": "Patrik L", "initials": "PL"}, {"family": "Lundeberg", "given": "Joakim", "initials": "J", "orcid": "0000-0003-4313-1601", "researcher": {"href": "https://publications.scilifelab.se/researcher/4a4e6ca0f29b4ead8569e2729481c3e0.json"}}], "type": "journal article", "published": "2012-03-20", "journal": {"volume": "81", "issn": "1545-4509", "issue": null, "pages": "359-378", "title": "Annu. Rev. Biochem.", "issn-l": "0066-4154"}, "abstract": "Today, resequencing of a human genome can be performed in approximately a week using a single instrument. Thanks to a steady logarithmic rate of increase in performance for DNA sequencing platforms over the past seven years, DNA sequencing is one of the fastest developing technology fields. As the process becomes faster, it opens up possibilities within health care, diagnostics, and entirely new fields of research. Immediate genetic characterization of contagious outbreaks has been exemplified, and with such applications for the direct benefit of human health, expectations of future sensitive, rapid, high-throughput, and cost-effective technologies are steadily growing. Simultaneously, some of the limitations of a rapidly growing field have become apparent, and questions regarding the quality of some of the data deposited into databases have been raised. A human genome sequenced in only an hour is likely to become a reality in the future, but its definition may not be as certain.", "doi": "10.1146/annurev-biochem-060410-094158", "pmid": "22443932", "labels": {"National Genomics Infrastructure": null, "NGI Stockholm (Genomics Applications)": null, "NGI Stockholm (Genomics Production)": null}, "xrefs": [], "notes": [], "created": "2017-05-04T14:57:28.913Z", "modified": "2021-07-08T13:26:08.092Z"}], "created": "2017-05-09T09:12:16.665Z", "modified": "2020-11-27T13:14:05.101Z"}