Generated August 29, 2023
from biokbase.narrative.jobs.appmanager import AppManager
AppManager().run_app_batch(
    [{
        "app_id": "kb_uploadmethods/import_fastq_noninterleaved_as_reads_from_staging",
        "tag": "release",
        "version": "5b9346463df88a422ff5d4f4cba421679f63c73f",
        "params": [{
            "fastq_fwd_staging_file_name": "Unknown_124_S431_R1_001.fastq.gz",
            "fastq_rev_staging_file_name": "Unknown_124_S431_R2_001.fastq.gz",
            "name": "Unknown_124_Paired_Reads"
        }],
        "shared_params": {
            "sequencing_tech": "Illumina",
            "single_genome": 1,
            "read_orientation_outward": 0,
            "insert_size_std_dev": None,
            "insert_size_mean": None
        }
    }],
    cell_id="65cea7e7-3f5d-43a1-b935-f9c8f8c9592c",
    run_id="d5018dd5-aaeb-41dc-9235-d3d1420cbe99"
)
A quality control application for high throughput sequence data.
This app completed without errors in 2m 29s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/139244
  • Unknown_124_Paired_Reads_139244_37_1.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • Unknown_124_Paired_Reads_139244_37_1.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
v1 - KBaseFile.PairedEndLibrary-2.1
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
Trim paired- or single-end Illumina reads with Trimmomatic.
This app completed without errors in 4m 42s.
Objects
Created Object Name Type Description
Unknown_124_Trimmed_paired PairedEndLibrary Trimmed Reads
Unknown_124_Trimmed_unpaired_fwd SingleEndLibrary Trimmed Unpaired Forward Reads
Unknown_124_Trimmed_unpaired_rev SingleEndLibrary Trimmed Unpaired Reverse Reads
v1 - KBaseFile.PairedEndLibrary-2.1
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
v1 - KBaseFile.SingleEndLibrary-2.1
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
v1 - KBaseFile.SingleEndLibrary-2.1
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
A quality control application for high throughput sequence data.
This app completed without errors in 2m 50s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/139244
  • Unknown_124_Trimmed_paired_139244_40_1.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • Unknown_124_Trimmed_paired_139244_40_1.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Assemble paired-end reads from single-cell or metagenomic sequencing technologies using the IDBA-UD assembler.
This app completed without errors in 5m 56s.
Objects
Created Object Name Type Description
Unknown124_trimmed_IDBA.contigs Assembly Assembled contigs
Summary
Assembly saved to: annamcloon:narrative_1677775627368/Unknown124_trimmed_IDBA.contigs Assembled into 49 contigs. Avg Length: 78333.0 bp. Contig Length Distribution (# of contigs -- min to max basepairs): 28 -- 531.0 to 48343.7 bp 6 -- 48343.7 to 96156.4 bp 8 -- 96156.4 to 143969.09999999998 bp 1 -- 143969.09999999998 to 191781.8 bp 1 -- 191781.8 to 239594.5 bp 0 -- 239594.5 to 287407.19999999995 bp 2 -- 287407.19999999995 to 335219.89999999997 bp 1 -- 335219.89999999997 to 383032.6 bp 1 -- 383032.6 to 430845.3 bp 1 -- 430845.3 to 478658.0 bp
Links
Assemble reads using the SPAdes assembler.
This app completed without errors in 33m 18s.
Objects
Created Object Name Type Description
Unknown124_trimmed_SPAdes.contigs Assembly Assembled contigs
Summary
Assembly saved to: annamcloon:narrative_1677775627368/Unknown124_trimmed_SPAdes.contigs Assembled into 21 contigs. Avg Length: 182729.85714285713 bp. Contig Length Distribution (# of contigs -- min to max basepairs): 14 -- 596.0 to 119118.9 bp 4 -- 119118.9 to 237641.8 bp 0 -- 237641.8 to 356164.69999999995 bp 0 -- 356164.69999999995 to 474687.6 bp 0 -- 474687.6 to 593210.5 bp 0 -- 593210.5 to 711733.3999999999 bp 2 -- 711733.3999999999 to 830256.2999999999 bp 0 -- 830256.2999999999 to 948779.2 bp 0 -- 948779.2 to 1067302.0999999999 bp 1 -- 1067302.0999999999 to 1185825.0 bp
Links
Obtain objective taxonomic assignments for bacterial and archaeal genomes based on the Genome Taxonomy Database (GTDB) ver R06-RS202
This app completed without errors in 36m 44s.
Links
Annotate or re-annotate genome/assembly using RASTtk (Rapid Annotations using Subsystems Technology toolkit).
This app completed without errors in 7m 32s.
Objects
Created Object Name Type Description
SC124_trimmed_spades_rast.annotation Genome RAST re-annotated genome
Summary
The RAST algorithm was applied to annotating a genome sequence comprised of 21 contigs containing 3837327 nucleotides. No initial gene calls were provided. Standard features were called using: glimmer3; prodigal. A scan was conducted for the following additional feature types: rRNA; tRNA; selenoproteins; pyrrolysoproteins; repeat regions; crispr. The genome features were functionally annotated using the following algorithm(s): Kmers V2; Kmers V1; protein similarity. In addition to the remaining original 0 coding features and 0 non-coding features, 4155 new features were called, of which 92 are non-coding. Output genome has the following feature types: Coding gene 4063 Non-coding repeat 44 Non-coding rna 48 The number of distinct functions can exceed the number of genes because some genes have multiple functions.
Links
v1 - KBaseGenomes.Genome-11.0
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
Annotate Assembly and Re-annotate Genomes with Prokka annotation pipeline.
This app completed without errors in 2m 28s.
Objects
Created Object Name Type Description
SC124_trimmed_spades_prokka.annotation Genome Annotated Genome
Summary
Annotated Genome saved to: annamcloon:narrative_1677775627368/SC100_trimmed_spades_prokka.annotation Number of genes predicted: 3981 Number of protein coding genes: 3931 Number of genes with non-hypothetical function: 2560 Number of genes with EC-number: 957 Number of genes with Seed Subsystem Ontology: 0 Average protein length: 287 aa.
v1 - KBaseGenomes.Genome-11.0
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/139244
Annotate your assemblies, isolate genomes, or MAGs with DRAM and distill resulting annotations to create an interactive functional summary per genome or assembly. Use for KBase assembly objects.
This app completed without errors in 57m 18s.
Objects
Created Object Name Type Description
Unknown124_trimmed_SPAdes.contigs_DRAM Genome Annotated Genome
SC124_trimmed_spades_dram.annotation GenomeSet Spades input
Summary
Here are the results from your DRAM run.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/139244
  • annotations.tsv - DRAM annotations in a tab separate table format
  • genes.fna - Genes as nucleotides predicted by DRAM with brief annotations
  • genes.faa - Genes as amino acids predicted by DRAM with brief annotations
  • genes.gff - GFF file of all DRAM annotations
  • rrnas.tsv - Tab separated table of rRNAs as detected by barrnap
  • trnas.tsv - Tab separated table of tRNAs as detected by tRNAscan-SE
  • genbank.tar.gz - Compressed folder of output genbank files
  • product.tsv - DRAM product in tabular format
  • metabolism_summary.xlsx - DRAM metabolism summary tables
  • genome_stats.tsv - DRAM genome statistics table

Apps

  1. Annotate and Distill Assemblies with DRAM
    • DRAM source code
    • DRAM documentation
    • DRAM Tutorial
    • DRAM publication
  2. Annotate Assembly and Re-annotate Genomes with Prokka - v1.14.5
    • Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30: 2068 2069. doi:10.1093/bioinformatics/btu153
  3. Annotate Genome/Assembly with RASTtk - v1.073
    • [1] Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. The RAST Server: Rapid Annotations using Subsystems Technology. BMC Genomics. 2008;9: 75. doi:10.1186/1471-2164-9-75
    • [2] Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, Disz T, et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res. 2014;42: D206 D214. doi:10.1093/nar/gkt1226
    • [3] Brettin T, Davis JJ, Disz T, Edwards RA, Gerdes S, Olsen GJ, et al. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci Rep. 2015;5. doi:10.1038/srep08365
    • [4] Kent WJ. BLAT The BLAST-Like Alignment Tool. Genome Res. 2002;12: 656 664. doi:10.1101/gr.229202
    • [5] Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25: 3389-3402. doi:10.1093/nar/25.17.3389
    • [6] Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 1997;25: 955 964.
    • [7] Cobucci-Ponzano B, Rossi M, Moracci M. Translational recoding in archaea. Extremophiles. 2012;16: 793 803. doi:10.1007/s00792-012-0482-8
    • [8] Meyer F, Overbeek R, Rodriguez A. FIGfams: yet another set of protein families. Nucleic Acids Res. 2009;37 6643-54. doi:10.1093/nar/gkp698.
    • [9] van Belkum A, Sluijuter M, de Groot R, Verbrugh H, Hermans PW. Novel BOX repeat PCR assay for high-resolution typing of Streptococcus pneumoniae strains. J Clin Microbiol. 1996;34: 1176 1179.
    • [10] Croucher NJ, Vernikos GS, Parkhill J, Bentley SD. Identification, variation and transcription of pneumococcal repeat sequences. BMC Genomics. 2011;12: 120. doi:10.1186/1471-2164-12-120
    • [11] Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010;11: 119. doi:10.1186/1471-2105-11-119
    • [12] Delcher AL, Bratke KA, Powers EC, Salzberg SL. Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics. 2007;23: 673 679. doi:10.1093/bioinformatics/btm009
    • [13] Akhter S, Aziz RK, Edwards RA. PhiSpy: a novel algorithm for finding prophages in bacterial genomes that combines similarity- and composition-based strategies. Nucleic Acids Res. 2012;40: e126. doi:10.1093/nar/gks406
  4. Assemble Reads with IDBA-UD - v1.1.3
    • Peng Y, Leung HCM, Yiu SM, Chin FYL. IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth. Bioinformatics. 2012;28: 1420 1428. doi:10.1093/bioinformatics/bts174
  5. Assemble Reads with SPAdes - v3.15.3
    • Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. Journal of Computational Biology. 2012;19: 455-477. doi: 10.1089/cmb.2012.0021
    • Prjibelski A, Antipov D, Meleshko D, Lapidus A, Korobeynikov A. Using SPAdes De Novo Assembler. Curr Protoc Bioinformatics. 2020 Jun;70(1):e102. doi: 10.1002/cpbi.102.
  6. Assess Read Quality with FastQC - v0.12.1
    • FastQC source: Bioinformatics Group at the Babraham Institute, UK.
  7. Classify Microbes with GTDB-Tk - v1.7.0
    • Pierre-Alain Chaumeil, Aaron J Mussig, Philip Hugenholtz, Donovan H Parks, GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database, Bioinformatics, Volume 36, Issue 6, 15 March 2020, Pages 1925 1927. DOI: https://doi.org/10.1093/bioinformatics/btz848
    • Parks, D., Chuvochina, M., Waite, D. et al. A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life. Nat Biotechnol 36, 996 1004 (2018). DOI: https://doi.org/10.1038/nbt.4229
    • Parks DH, Chuvochina M, Chaumeil PA, Rinke C, Mussig AJ, Hugenholtz P. A complete domain-to-species taxonomy for Bacteria and Archaea. Nat Biotechnol. 2020;10.1038/s41587-020-0501-8. DOI:10.1038/s41587-020-0501-8
    • Rinke C, Chuvochina M, Mussig AJ, Chaumeil PA, Dav n AA, Waite DW, Whitman WB, Parks DH, and Hugenholtz P. A standardized archaeal taxonomy for the Genome Taxonomy Database. Nat Microbiol. 2021 Jul;6(7):946-959. DOI:10.1038/s41564-021-00918-8
    • Matsen FA, Kodner RB, Armbrust EV. pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree. BMC Bioinformatics. 2010;11:538. Published 2010 Oct 30. doi:10.1186/1471-2105-11-538
    • Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun. 2018;9(1):5114. Published 2018 Nov 30. DOI:10.1038/s41467-018-07641-9
    • Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010;11:119. Published 2010 Mar 8. DOI:10.1186/1471-2105-11-119
    • Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One. 2010;5(3):e9490. Published 2010 Mar 10. DOI:10.1371/journal.pone.0009490 link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2835736/
    • Eddy SR. Accelerated Profile HMM Searches. PLoS Comput Biol. 2011;7(10):e1002195. DOI:10.1371/journal.pcbi.1002195
  8. Trim Reads with Trimmomatic - v0.36
    • Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30: 2114 2120. doi:10.1093/bioinformatics/btu170