Comparing de novo assemblers for 454 transcriptome data

Clicks: 349
ID: 116800
2010
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Transcriptome assemblies are smaller than genome assemblies and thus should be more computationally tractable, but are often harder because individual contigs can have highly variable read coverage. Comparing single assemblers, Newbler 2.5 performed best on our trial data set, but other assemblers w …
Reference Key
s2010bmccomparing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kumar S;Blaxter ML;;
Journal BMC genomics
Year 2010
DOI
DOI not found
URL
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Abstract&list_uids=20950480
Keywords
databases National Center for Biotechnology Information NCBI NLM MEDLINE gene expression regulation animals pubmed abstract nih national institutes of health national library of medicine reproducibility of results research support non-u.s. gov't algorithms female male sequence alignment Comparative Study Sequence Analysis genetic* Base Sequence Expressed Sequence Tags Gene Expression Profiling / methods* DNA / methods* contig mapping reference standards pmid:20950480 pmc3091720 doi:10.1186/1471-2164-11-571 sujai kumar mark l blaxter filarioidea / genetics* gene expression profiling / instrumentation* temperature*

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.