Method
Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes
1 Genome Sequencing and Analysis Program, The Broad Institute of MIT and Harvard, 320 Charles Street and 301 Binney Street, Cambridge, MA 02141, USA
2 Department of Molecular Genetics, The Forsyth Institute, 245 First Street, Cambridge, MA 02142, USA
3 Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, 188 Longwood Ave, Boston, MA 02115, USA
Genome Biology 2012, 13:r23 doi:10.1186/gb-2012-13-3-r23
Published: 28 March 2012Additional files
Additional file 1:
Figures S1 through S8 and legends. Figure S1: linear correlation of gene expression profiles before and after different rRNA depletion methods. Figure S2: detrimental effect of high GC content on enrichment by low-c0t normalization using duplex specific nuclease (DSN). Figure S3: fragmentation profile of total RNA prior to Ribo-Zero treatment. Figure S4: PER CDS detection sensitivity before and after Ribo-Zero treatment of intact and fragmented RNA. Figure S5: antisense read densities for two technical replicates of strand-specific RNA seq of Ribo-zero treated PER RNA. Figure S6: representation of bacterial species in sequencing data sets from two human stool samples. Figure S7: RNA-seq data for Prevotella copri, Bacteroides vulgatus, and Eubacterium rectale in stool A. Figure S8: RNA-seq data for Prevotella copri and Bacteroides vulgatus in stool B.
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Additional file 2:
List of 649 reference genomes with GenBank accession numbers.
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Additional file 3:
Total mapped reads to top 19 species in stool samples.
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Additional file 4:
List of unannotated rRNAs in stool samples.
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Additional file 5:
Sample recovery through the RNA-seq process assessed by the Agilent Bioanalyzer RNA 6000 Pico and DNA High Sensitivity Kits.
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Additional file 6:
RNA-seq metrics and Sequence Read Archive accession numbers.
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