unknown 141 assembly, annotation and analysis
Anna McLoon, Julia Barker, Kelly Maune
Generated August 20, 2024
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_141_S147_R1_001.fastq",
            "fastq_rev_staging_file_name": "Unknown_141_S147_R2_001.fastq",
            "name": "Unknown_141_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="389a1679-afa9-4c55-bc9c-123ab0ace797",
    run_id="0b155528-6553-4139-bde4-98fbfbcd3ef3"
)
Assess Read Quality with FastQC - v0.12.1
A quality control application for high throughput sequence data.
This app completed without errors in 1m 42s.
Report
Links
  • index.html - HTML files generated by fastqc that contains report on quality of reads
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/172263
  • Unknown_141_paired_reads_172263_37_2.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • Unknown_141_paired_reads_172263_37_2.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Trim Reads with Trimmomatic - v0.36
Trim paired- or single-end Illumina reads with Trimmomatic.
This app completed without errors in 4m 28s.
Objects
Created Object Name Type Description
Unknown_141_trimmed_reads_paired PairedEndLibrary Trimmed Reads
Unknown_141_trimmed_reads_unpaired_fwd SingleEndLibrary Trimmed Unpaired Forward Reads
Unknown_141_trimmed_reads_unpaired_rev SingleEndLibrary Trimmed Unpaired Reverse Reads
Report
Links
Assess Read Quality with FastQC - v0.12.1
A quality control application for high throughput sequence data.
This app completed without errors in 1m 0s.
Report
Links
  • index.html - HTML files generated by fastqc that contains report on quality of reads
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/172263
  • Unknown_141_trimmed_reads_unpaired_rev_172263_43_1.single_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Assess Read Quality with FastQC - v0.12.1
A quality control application for high throughput sequence data.
This app completed without errors in 49s.
Report
Links
  • index.html - HTML files generated by fastqc that contains report on quality of reads
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/172263
  • Unknown_141_trimmed_reads_unpaired_fwd_172263_42_1.single_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Assess Read Quality with FastQC - v0.12.1
A quality control application for high throughput sequence data.
This app completed without errors in 1m 54s.
Report
Links
  • index.html - HTML files generated by fastqc that contains report on quality of reads
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/172263
  • Unknown_141_trimmed_reads_paired_172263_41_1.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • Unknown_141_trimmed_reads_paired_172263_41_1.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Assemble Reads with IDBA-UD - v1.1.3
Assemble paired-end reads from single-cell or metagenomic sequencing technologies using the IDBA-UD assembler.
This app completed without errors in 6m 25s.
Objects
Created Object Name Type Description
141_trimmed_IDBA.contigs Assembly Assembled contigs
Report
Summary
Assembly saved to: annamcloon:narrative_1709055314237/141_trimmed_IDBA.contigs Assembled into 92 contigs. Avg Length: 61607.25 bp. Contig Length Distribution (# of contigs -- min to max basepairs): 59 -- 500.0 to 59057.9 bp 19 -- 59057.9 to 117615.8 bp 6 -- 117615.8 to 176173.7 bp 3 -- 176173.7 to 234731.6 bp 2 -- 234731.6 to 293289.5 bp 2 -- 293289.5 to 351847.4 bp 0 -- 351847.4 to 410405.3 bp 0 -- 410405.3 to 468963.2 bp 0 -- 468963.2 to 527521.1 bp 1 -- 527521.1 to 586079.0 bp
Links
Assemble Reads with SPAdes - v3.15.3
Assemble reads using the SPAdes assembler.
This app completed without errors in 30m 1s.
Objects
Created Object Name Type Description
141_trimmed_SPAdes.contigs Assembly Assembled contigs
Report
Summary
Assembly saved to: annamcloon:narrative_1709055314237/141_trimmed_SPAdes.contigs Assembled into 27 contigs. Avg Length: 210038.66666666666 bp. Contig Length Distribution (# of contigs -- min to max basepairs): 21 -- 530.0 to 238359.8 bp 3 -- 238359.8 to 476189.6 bp 1 -- 476189.6 to 714019.3999999999 bp 1 -- 714019.3999999999 to 951849.2 bp 0 -- 951849.2 to 1189679.0 bp 0 -- 1189679.0 to 1427508.7999999998 bp 0 -- 1427508.7999999998 to 1665338.5999999999 bp 0 -- 1665338.5999999999 to 1903168.4 bp 0 -- 1903168.4 to 2140998.1999999997 bp 1 -- 2140998.1999999997 to 2378828.0 bp
Links
Build AssemblySet - v1.0.1
Allows users to create an AssemblySet object.
This app completed without errors in 20s.
Objects
Created Object Name Type Description
141_Assembly_set AssemblySet KButil_Build_AssemblySet
Summary
assembly objs in output set 141_Assembly_set: 1
Classify Microbes with GTDB-Tk - v1.7.0
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 37m 55s.
Report
Links
Annotate Assembly and Re-annotate Genomes with Prokka - v1.14.5
Annotate Assembly and Re-annotate Genomes with Prokka annotation pipeline.
This app completed without errors in 2m 56s.
Objects
Created Object Name Type Description
SC141_trimmedspades_prokka Genome Annotated Genome
Summary
Annotated Genome saved to: annamcloon:narrative_1709055314237/SC141_trimmedspades_prokka Number of genes predicted: 5795 Number of protein coding genes: 5762 Number of genes with non-hypothetical function: 3023 Number of genes with EC-number: 1170 Number of genes with Seed Subsystem Ontology: 0 Average protein length: 273 aa.
Annotate Genome/Assembly with RASTtk - v1.073
Annotate or re-annotate genome/assembly using RASTtk (Rapid Annotations using Subsystems Technology toolkit).
This app completed without errors in 5m 22s.
Objects
Created Object Name Type Description
SC141_trimmed_spades_rast.annotation Genome RAST re-annotated genome
Report
Summary
The RAST algorithm was applied to annotating a genome sequence comprised of 27 contigs containing 5671044 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, 6063 new features were called, of which 103 are non-coding. Output genome has the following feature types: Coding gene 5960 Non-coding repeat 74 Non-coding rna 29 The number of distinct functions can exceed the number of genes because some genes have multiple functions.
Links
  • genome_report.html - Feature function report for genome SC141_trimmed_spades_rast.annotation
Annotate and Distill Genomes with DRAM
Annotate MAGs with DRAM and distill resulting annotations to create an interactive functional summary per genome. Use for KBase genome objects.
This app completed without errors in 22m 55s.
Report
Summary
Here are the results from your DRAM run.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/172263
  • annotations.tsv - DRAM annotations in a tab separate table format
  • genes.faa - Genes as amino acids predicted by DRAM with brief annotations
  • product.tsv - DRAM product in tabular format
  • metabolism_summary.xlsx - DRAM metabolism summary tables
  • genome_stats.tsv - DRAM genome statistics table

Released Apps

  1. Annotate and Distill Genomes 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. Build AssemblySet - v1.0.1
    • Chivian D, Jungbluth SP, Dehal PS, Wood-Charlson EM, Canon RS, Allen BH, Clark MM, Gu T, Land ML, Price GA, Riehl WJ, Sneddon MW, Sutormin R, Zhang Q, Cottingham RW, Henry CS, Arkin AP. Metagenome-assembled genome extraction and analysis from microbiomes using KBase. Nat Protoc. 2023 Jan;18(1):208-238. doi: 10.1038/s41596-022-00747-x
    • Arkin AP, Cottingham RW, Henry CS, Harris NL, Stevens RL, Maslov S, et al. KBase: The United States Department of Energy Systems Biology Knowledgebase. Nature Biotechnology. 2018;36: 566. doi: 10.1038/nbt.4163
  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

Apps in Beta

  1. 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