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LIBRIS Formathandbok (Information om MARC21)
| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 05586naa a2201093 4500 | |
| 001 | oai:DiVA.org:su-153888 | |
| 003 | SwePub | |
| 008 | 180307s2018 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1538882 URI |
| 024 | 7 | a https://doi.org/10.1093/bib/bbw0892 DOI |
| 040 | a (SwePub)su | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Marschall, Tobias4 aut |
| 245 | 1 0 | a Computational pan-genomics :b status, promises and challenges |
| 264 | c 2016-10-21 | |
| 264 | 1 | b Oxford University Press (OUP),c 2018 |
| 338 | a print2 rdacarrier | |
| 520 | a Many disciplines, from human genetics and oncology to plant breeding, microbiology and virology, commonly face the challenge of analyzing rapidly increasing numbers of genomes. In case of Homo sapiens, the number of sequenced genomes will approach hundreds of thousands in the next few years. Simply scaling up established bioinformatics pipelines will not be sufficient for leveraging the full potential of such rich genomic data sets. Instead, novel, qualitatively different computational methods and paradigms are needed. We will witness the rapid extension of computational pan-genomics, a new sub-area of research in computational biology. In this article, we generalize existing definitions and understand a pan-genome as any collection of genomic sequences to be analyzed jointly or to be used as a reference. We examine already available approaches to construct and use pan-genomes, discuss the potential benefits of future technologies and methodologies and review open challenges from the vantage point of the above-mentioned biological disciplines. As a prominent example for a computational paradigm shift, we particularly highlight the transition from the representation of reference genomes as strings to representations as graphs. We outline how this and other challenges from different application domains translate into common computational problems, point out relevant bioinformatics techniques and identify open problems in computer science. With this review, we aim to increase awareness that a joint approach to computational pan-genomics can help address many of the problems currently faced in various domains. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Biologi0 (SwePub)1062 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Biological Sciences0 (SwePub)1062 hsv//eng |
| 653 | a pan-genome | |
| 653 | a sequence graph | |
| 653 | a read mapping | |
| 653 | a haplotypes | |
| 653 | a data structures | |
| 700 | 1 | a Marz, Manja4 aut |
| 700 | 1 | a Abeel, Thomas4 aut |
| 700 | 1 | a Dijkstra, Louis4 aut |
| 700 | 1 | a Dutilh, Bas E.4 aut |
| 700 | 1 | a Ghaffaari, Ali4 aut |
| 700 | 1 | a Kersey, Paul4 aut |
| 700 | 1 | a Kloosterman, Wigard P.4 aut |
| 700 | 1 | a Makinen, Veli4 aut |
| 700 | 1 | a Novak, Adam M.4 aut |
| 700 | 1 | a Paten, Benedict4 aut |
| 700 | 1 | a Porubsky, David4 aut |
| 700 | 1 | a Rivals, Eric4 aut |
| 700 | 1 | a Alkan, Can4 aut |
| 700 | 1 | a Baaijens, Jasmijn A.4 aut |
| 700 | 1 | a De Bakker, Paul I. W.4 aut |
| 700 | 1 | a Boeva, Valentina4 aut |
| 700 | 1 | a Bonnal, Raoul J. P.4 aut |
| 700 | 1 | a Chiaromonte, Francesca4 aut |
| 700 | 1 | a Chikhi, Rayan4 aut |
| 700 | 1 | a Ciccarelli, Francesca D.4 aut |
| 700 | 1 | a Cijvat, Robin4 aut |
| 700 | 1 | a Datema, Erwin4 aut |
| 700 | 1 | a Van Duijn, Cornelia M.4 aut |
| 700 | 1 | a Eichler, Evan E.4 aut |
| 700 | 1 | a Ernst, Corinna4 aut |
| 700 | 1 | a Eskin, Eleazar4 aut |
| 700 | 1 | a Garrison, Erik4 aut |
| 700 | 1 | a El-Kebir, Mohammed4 aut |
| 700 | 1 | a Klau, Gunnar W.4 aut |
| 700 | 1 | a Korbel, Jan O.4 aut |
| 700 | 1 | a Lameijer, Eric-Wubbo4 aut |
| 700 | 1 | a Langmead, Benjamin4 aut |
| 700 | 1 | a Martin, Marcelu Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab)4 aut0 (Swepub:su)marcm |
| 700 | 1 | a Medvedev, Paul4 aut |
| 700 | 1 | a Mu, John C.4 aut |
| 700 | 1 | a Neerincx, Pieter4 aut |
| 700 | 1 | a Ouwens, Klaasjan4 aut |
| 700 | 1 | a Peterlongo, Pierre4 aut |
| 700 | 1 | a Pisanti, Nadia4 aut |
| 700 | 1 | a Rahmann, Sven4 aut |
| 700 | 1 | a Raphael, Ben4 aut |
| 700 | 1 | a Reinert, Knut4 aut |
| 700 | 1 | a de Ridder, Dick4 aut |
| 700 | 1 | a de Ridder, Jeroen4 aut |
| 700 | 1 | a Schlesner, Matthias4 aut |
| 700 | 1 | a Schulz-Trieglaff, Ole4 aut |
| 700 | 1 | a Sanders, Ashley D.4 aut |
| 700 | 1 | a Sheikhizadeh, Siavash4 aut |
| 700 | 1 | a Shneider, Carl4 aut |
| 700 | 1 | a Smit, Sandra4 aut |
| 700 | 1 | a Valenzuela, Daniel4 aut |
| 700 | 1 | a Wang, Jiayin4 aut |
| 700 | 1 | a Wessels, Lodewyk4 aut |
| 700 | 1 | a Zhang, Ying4 aut |
| 700 | 1 | a Guryev, Victor4 aut |
| 700 | 1 | a Vandin, Fabio4 aut |
| 700 | 1 | a Ye, Kai4 aut |
| 700 | 1 | a Schonhuth, Alexander4 aut |
| 710 | 2 | a Stockholms universitetb Institutionen för biokemi och biofysik4 org |
| 773 | 0 | t Briefings in Bioinformaticsd : Oxford University Press (OUP)g 19:1, s. 118-135q 19:1<118-135x 1467-5463x 1477-4054 |
| 856 | 4 | u https://doi.org/10.1093/bib/bbw089y Fulltext |
| 856 | 4 | u https://academic.oup.com/bib/article-pdf/19/1/118/25406834/bbw089.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-153888 |
| 856 | 4 8 | u https://doi.org/10.1093/bib/bbw089 |
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