Dataset: Supplementary Table 4B: Annotations for contigs within transcriptome libraries for the eleven samples that were manually curated for selected metabolic processes

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.812997.1Version 1 (2020-06-22)Dataset Type:Other Field Results

Principal Investigator, Contact: Virginia P. Edgcomb (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)


Program: International Ocean Discovery Program (IODP)

Project: Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches (Subseafloor Lower Crust Microbiology)


Abstract

Supplementary Table 4B: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences: Annotations for contigs within transcriptome libraries for the eleven samples that were manually curated for selected metabolic processes. Samples taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016.

Supplementary Table 4B: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences: Annotations for contigs within transcriptome libraries for the eleven samples that were manually curated for selected metabolic processes. Samples  taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016.


Related Datasets

No Related Datasets

Related Publications

Methods

Bolger, A. M., Lohse, M., & Usadel, B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 30(15), 2114–2120. doi:10.1093/bioinformatics/btu170
Methods

Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., … Tiedje, J. M. (2009). The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Research, 37(Database), D141–D145. doi:10.1093/nar/gkn879
Methods

Finn, R. D., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Mistry, J., Mitchell, A. L., … Bateman, A. (2015). The Pfam protein families database: towards a more sustainable future. Nucleic Acids Research, 44(D1), D279–D285. doi:10.1093/nar/gkv1344
Methods

Glassing, A., Dowd, S. E., Galandiuk, S., Davis, B., & Chiodini, R. J. (2016). Inherent bacterial DNA contamination of extraction and sequencing reagents may affect interpretation of microbiota in low bacterial biomass samples. Gut Pathogens, 8(1). doi:10.1186/s13099-016-0103-7
Methods

Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. . (2001). Predicting transmembrane protein topology with a hidden markov model: application to complete genomes11Edited by F. Cohen. Journal of Molecular Biology, 305(3), 567–580. doi:10.1006/jmbi.2000.4315