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Data from: Generation and analysis of blueberry transcriptome sequences from leaves, developing fruit, and flower buds from cold acclimation through deacclimation

    There has been increased consumption of blueberries in recent years fueled in part because of their many recognized health benefits. Blueberry fruit is very high in anthocyanins, which have been linked to improved night vision, prevention of macular degeneration, anti-cancer activity, and reduced risk of heart disease. Very few genomic resources have been available for blueberry, however. Further development of genomic resources like expressed sequence tags (ESTs), molecular markers, and genetic linkage maps could lead to more rapid genetic improvement. Marker-assisted selection could be used to combine traits for climatic adaptation with fruit and nutritional quality traits.

    Effort Versus Reward: Preparing samples for fungal community characterization in high-throughput sequencing surveys of soils

      This data set consists of four data files. The FASTA file, Representative OTU sequences.fa, contains representative sequences from the operational taxonomic units (OTUs) shown in the OTU table. FASTA files can be opened in simple text editors, and sequences can be aligned using the BLAST tool (http://blast.ncbi.nlm.nih.gov/Blast.cgi) or open source software, like AliView (http://www.ormbunkar.se/aliview/). There are two Excel data files: OTU table and heatmaps.xlsx and Diversity Indexes.xlsx. The former contains the raw abundance data for the observed OTUs from the different experimental sites. The latter is a breakdown of various diversity indices that are grouped based on experimental characteristics, such as extraction volume, extraction method, etc. Excel_Archive.zip is a compressed version of the two Excel data files that have been converted to more archival-friendly formats using Excel Archival Tool.