| Autor: |
Gao Dexiang, Kim Jihye, Kim Hyunmin, Phang Tzu L, Selby Heather, Tan Aik, Tong Tiejun |
| Jazyk: |
angličtina |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
Human Genomics, Vol 5, Iss 1, Pp 56-60 (2010) |
| Druh dokumentu: |
article |
| ISSN: |
1479-7364 |
| DOI: |
10.1186/1479-7364-5-1-56 |
| Popis: |
Abstract High-throughput RNA sequencing is rapidly emerging as a favourite method for gene expression studies. We review three software packages -- edgeR, DEGseq and baySeq -- from Bioconductor http://bioconductor.org for analysing RNA-sequencing data. We focus on three aspects: normalisation, statistical models and the testing employed on these methods. We also discuss the advantages and limitations of these software packages. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink