Next-generation transcriptome assembly

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ID: 118331
2011
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Abstract
Transcriptomics studies often rely on partial reference transcriptomes that fail to capture the full catalogue of transcripts and their variations. Recent advances in sequencing technologies and assembly algorithms have facilitated the reconstruction of the entire transcriptome by deep RNA sequencin ā€¦
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ja2011naturenext-generation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Martin JA;Wang Z;;
Journal nature reviews genetics
Year 2011
DOI DOI not found
URL
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=21897427
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE Molecular review animals humans pubmed abstract nih national institutes of health national library of medicine models research support u.s. gov't non-p.h.s. Sequence Analysis Base Sequence Molecular Sequence Data gene expression profiling / methods gene library biological cloning dna / methods pmid:21897427 doi:10.1038/nrg3068 jeffrey a martin zhong wang gene expression profiling / trends* molecular sequence annotation / methods molecular sequence annotation / trends dna / trends rna / methods rna / trends

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