Generated December 10, 2024

Draft Genome Sequence of a freshwater Roseomonas sp. Strain GC11, Isolated from Conservancy Park in Belleview, KY, USA.

Kellyn Dolezal1 and Joshua T. Cooper2 ORCID

1Department of Chemistry & Biochemisty, Northern Kentucky University and 2Department of Biological Sciences, Northern Kentucky University, 1 Nunn Drive, Highland Heights, KY 41099, USA

Introduction

This narrative was used for the draft genome of a Roseomonas species Strain GC11. This genus includes 6 known species. The specimen was collected using a water grab method in Conservancy Park, a freshwater site in Belleview, KY. This species is often identified in aquatic environments and is a known pathogen to humans1. It has been reported in healthcare settings from bacteremia in the blood2 and has also been reported to be found in human catheters3. Due to the the prevelance as a human pathogen and lack of isolation in a non-human environment this strain was of particular interest4,5.

External Data Availability

  • The data were deposited in the Sequence Read Archive (SRA) as SRR19987100 under BioProject PRJNA734631, and BioSample SAMN28844363.
  • This Whole Genome Shotgun project has been deposited at GenBank under the accession JANFNY000000000. The version described in this paper is version JANFNY000000000.
  • Linked publication:

Table of Contents

  1. Import, Annotation, QC, and Classification
  2. Background and Experimental Methods
  3. QC, Assembly, and Annotation
  4. Taxonomic Identification
  5. References

Import, Annotation, QC, and Classification

  1. The previously mentioned assembly was imported using default parameters through the Import FASTA File as Assembly from Staging Area.
  2. The assembly was annotated using the KBase Annotate Microbial Assembly App, based on the RASTtk, with default parameters.
  3. The genome objected generated from the RAST annotation was check for quality using Assess Genome Quality with CheckM with default parameters.
  4. The resulting Insert Genome Into Species Tree App was used to generate a relatives list.
from biokbase.narrative.jobs.appmanager import AppManager
AppManager().run_app_bulk(
    [{
        "app_id": "kb_uploadmethods/import_fastq_noninterleaved_as_reads_from_staging",
        "tag": "release",
        "version": "31e93066beb421a51b9c8e44b1201aa93aea0b4e",
        "params": [{
            "fastq_fwd_staging_file_name": "GC11_S178_R1_001.fastq.gz",
            "fastq_rev_staging_file_name": "GC11_S178_R2_001.fastq.gz",
            "name": "GC11_Reads",
            "sequencing_tech": "Illumina",
            "single_genome": 1,
            "read_orientation_outward": 0,
            "insert_size_std_dev": None,
            "insert_size_mean": None
        }]
    }],
    cell_id="d04fe1dc-ddf5-4061-af52-6b3e209f6075",
    run_id="4017689b-f5c1-4c08-9a1a-7cca48ca2502"
)

Background and Experimental Methods

Sample Collection

Roseomonas sp. strain GC was isolated in a surface water grab from the shoreline of a lake in Belleview, KY. This sample was collected in Northern Kentucky in September of 2021.The sample was diluted and plated on Reasoner's 2A agar and incubated for 2 days at 25°C.

Isolation

The colonies were inoculated in Tryptic soy broth in order to isolate the genomic DNA. A Qiagen UltraClean Microbial DNA Isolation Kit was used for isolation and the DNA concentration was quantified using Invitrogen Quibit 3.0 broad range kit.

Genome Sequencing

The isolated sample was sent to MiGS or the Microbial Genome Sequencing Center at the University of Pittsburg. Illumina Nextera XL Kit was used to prepare the sample for sequencing. Then using a paired-end Illumina NextSeq 2000 platform (2 x 150 bp) the sample was sequenced.

QC, Assembly, and Annotation

The KBase programs6 were used to analyze reads and assemble the genome. FastQC was used to analyze the reads and Trimmotatic was used to trim reads with Nextera adapters. The genome was determined to be 100% complete and without contamination using CheckM. In addition, RASTtk and Prokka were used for general genome annotation. However, the final annotation is provide using NCBI Prokaryotic Genome Annotation Pipeline7, and can be accessed at this Accession Number PRJNA734631. The length of the genome assembly was 5,252,435 bp with 212 contigs. The GC% content was 70.72% GC and had an N50</a> value of 53,914 bp.

A quality control application for high throughput sequence data.
This app completed without errors in 2m 1s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • GC11_Reads_108123_2_1.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • GC11_Reads_108123_2_1.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Trim paired- or single-end Illumina reads with Trimmomatic.
This app completed without errors in 11m 32s.
Objects
Created Object Name Type Description
GC11reads_trimmed_paired PairedEndLibrary Trimmed Reads
GC11reads_trimmed_unpaired_fwd SingleEndLibrary Trimmed Unpaired Forward Reads
GC11reads_trimmed_unpaired_rev SingleEndLibrary Trimmed Unpaired Reverse Reads
A quality control application for high throughput sequence data.
This app completed without errors in 3m 4s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • GC11reads_trimmed_paired_108123_5_1.fwd_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
  • GC11reads_trimmed_paired_108123_5_1.rev_fastqc.zip - Zip file generated by fastqc that contains original images seen in the report
Assemble reads using the SPAdes assembler.
This app completed without errors in 19m 13s.
Objects
Created Object Name Type Description
SPAdes.Assembly Assembly Assembled contigs
Summary
Assembly saved to: kdolezal18:narrative_1643665939498/SPAdes.Assembly Assembled into 212 contigs. Avg Length: 24775.63679245283 bp. Contig Length Distribution (# of contigs -- min to max basepairs): 121 -- 515.0 to 18335.4 bp 41 -- 18335.4 to 36155.8 bp 18 -- 36155.8 to 53976.200000000004 bp 16 -- 53976.200000000004 to 71796.6 bp 10 -- 71796.6 to 89617.0 bp 1 -- 89617.0 to 107437.40000000001 bp 2 -- 107437.40000000001 to 125257.80000000002 bp 2 -- 125257.80000000002 to 143078.2 bp 0 -- 143078.2 to 160898.6 bp 1 -- 160898.6 to 178719.0 bp
Links
Annotate bacterial or archaeal assemblies and/or assembly sets using RASTtk (Rapid Annotations using Subsystems Technology toolkit).
This app completed without errors in 13m 39s.
Objects
Created Object Name Type Description
SPAdes.Assembly.RAST Genome Annotated genome
RAST GenomeSet Genome Set
Summary
The RAST algorithm was applied to annotating a genome sequence comprised of 212 contigs containing 5252435 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, 5602 new features were called, of which 538 are non-coding.
Output genome has the following feature types:
	Coding gene                     5064 
	Non-coding crispr_array            1 
	Non-coding crispr_repeat          99 
	Non-coding crispr_spacer          98 
	Non-coding repeat                290 
	Non-coding rna                    50 
Overall, the genes have 2390 distinct functions. 
The genes include 2235 genes with a SEED annotation ontology across 1270 distinct SEED functions.
The number of distinct functions can exceed the number of genes because some genes have multiple functions.
SPAdes.Assembly succeeded!

Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • annotation_report.RAST - Microbial Annotation Report
Annotate Assembly and Re-annotate Genomes with Prokka annotation pipeline.
This app completed without errors in 5m 17s.
Objects
Created Object Name Type Description
Prokka Genome Annotated genome
Summary
Genome Ref:108123/16/1 Number of features sent into prokka:5064 New functions found:2617 Ontology terms found:1225
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • function_report - Annotation report generated by kb_prokka
  • ontology_report - Annotation report generated by kb_prokka
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/130563
v1 - KBaseSearch.GenomeSet-2.1
The viewer for the data in this Cell is available at the original Narrative here: https://narrative.kbase.us/narrative/130563
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/130563

Taxonomic Identification

The genome was classified using GTDB-Tk as a member of the genus Roseomonas but was a distant match. The identity was additionally explored using JSpeciesWS and Type (Strain) Genome Server, TYGS. These found that the strain GC11 shared 96.36% of its genome with Roseomonas cervicalis ATCC 49947. A Kbase Species Tree and digital DNA-DNA hybridization (dDDH) from TYGS were used for classification using the d4 formulat value (dDDH) which had a value of 9.6%, demonstrating little similarity to sequecned genomes in the TYGS database. It is likely this strain is undescribed taxon within the genus Roseomonas.

DRAM was used to predict the potential metabolism of the new strain compared to other published Roesomonas genomes. DRAM analyzes based on Prokka annotations of GC11 suggest it likely has roles in degrading complex carbohydrates and a possible role in nitrite and thiosulfate reduction in lentic aqautic habitats.

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 28s.
Links
Add one or more Genomes to a KBase SpeciesTree.
This app completed without errors in 4m 49s.
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • Roseomonas_KRD.newick
  • Roseomonas_KRD-labels.newick
  • Roseomonas_KRD.png
  • Roseomonas_KRD.pdf
Output from Annotate Assembly and Re-annotate Genomes with Prokka - v1.14.5
The viewer for the output created by this App is available at the original Narrative here: https://narrative.kbase.us/narrative/130563
Runs the CheckM lineage workflow to assess the genome quality of isolates, single cells, or genome bins from metagenome assemblies through comparison to an existing database of genomes.
This app completed without errors in 8m 35s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • CheckM_summary_table.tsv.zip - TSV Summary Table from CheckM
  • full_output.zip - Full output of CheckM
  • plots.zip - Output plots from CheckM
Align sequencing reads to long reference prokaryotic genome sequences using Bowtie2.
This app completed without errors in 25m 20s.
No output found.
Display BAM quality control information for a ReadsAlignment or ReadsAlignmentSet using QualiMap.
This app completed without errors in 2m 12s.
Annotate your genome(s) with DRAM. Annotations will then be distilled to create an interactive functional summary per genome.
This app completed without errors in 11h 34m 5s.
Summary
Here are the results from your DRAM run.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • 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
visualize assembly and mapped reads using Circos
This app completed without errors in 38m 22s.
Links
Files
These are only available in the live Narrative: https://narrative.kbase.us/narrative/130563
  • circos_result.zip - Files generated by Circos App

References

  1. Bard JD, Deville JG, Summanen PH, Lewinski MA. 2010. Roseomonas mucosa Isolated from Bloodstream of Pediatric Patient. J Clin Microbiol 48:3027–3029.
  2. Kim YK, Moon JS, Song KE, Lee W-K. 2016. Two Cases of Bacteremia Due to Roseomonas mucosa. Ann Lab Med 36:367–370.
  3. Abu Choudhury M, Wailan AM, Sidjabat HE, Zhang L, Marsh N, Rickard CM, Davies MR, McMillan DJ. 2017. Draft Genome Sequence of Roseomonas mucosa Strain AU37, Isolated from a Peripheral Intravenous Catheter. Genome Announc 5:e00128-17.
  4. De I, Rolston KVI, Han XY. 2004. Clinical Significance of Roseomonas Species Isolated from Catheter and Blood Samples: Analysis of 36 Cases in Patients with Cancer. Clin Infect Dis 38:1579–1584.
  5. Romano-Bertrand S, Bourdier A, Aujoulat F, Michon A-L, Masnou A, Parer S, Marchandin H, Jumas-Bilak E. 2016. Skin microbiota is the main reservoir of Roseomonas mucosa , an emerging opportunistic pathogen so far assumed to be environmental. Clin Microbiol Infect 22:737.e1-737.e7.
  6. Arkin AP, Cottingham RW, Henry CS, Harris NL, Stevens RL, Maslov S, Dehal P, Ware D, Perez F, Canon S, Sneddon MW, Henderson ML, Riehl WJ, Murphy-Olson D, Chan SY, Kamimura RT, Kumari S, Drake MM, Brettin TS, Glass EM, Chivian D, Gunter D, Weston DJ, Allen BH, Baumohl J, Best AA, Bowen B, Brenner SE, Bun CC, Chandonia J-M, Chia J-M, Colasanti R, Conrad N, Davis JJ, Davison BH, DeJongh M, Devoid S, Dietrich E, Dubchak I, Edirisinghe JN, Fang G, Faria JP, Frybarger PM, Gerlach W, Gerstein M, Greiner A, Gurtowski J, Haun HL, He F, Jain R, Joachimiak MP, Keegan KP, Kondo S, Kumar V, Land ML, Meyer F, Mills M, Novichkov PS, Oh T, Olsen GJ, Olson R, Parrello B, Pasternak S, Pearson E, Poon SS, Price GA, Ramakrishnan S, Ranjan P, Ronald PC, Schatz MC, Seaver SMD, Shukla M, Sutormin RA, Syed MH, Thomason J, Tintle NL, Wang D, Xia F, Yoo H, Yoo S, Yu D. 2018. KBase: The United States Department of Energy Systems Biology Knowledgebase. 7. Nat Biotechnol 36:566–569.
  7. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI prokaryotic genome annotation pipeline. 14. Nucleic Acids Res 44:6614–6624.

Released Apps

  1. Align Reads using Bowtie2 - v2.3.2
    • Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9: 357 359. doi:10.1038/nmeth.1923
    • Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009;10: R25. doi:10.1186/gb-2009-10-3-r25
  2. Annotate and Distill Genomes with DRAM
    • DRAM source code
    • DRAM documentation
    • DRAM Tutorial
    • DRAM publication
  3. 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
  4. Annotate Multiple Microbial Assemblies 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
  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 Genome Quality with CheckM - v1.0.18
    • Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25: 1043 1055. doi:10.1101/gr.186072.114
    • CheckM source:
    • Additional info:
  7. Assess Read Quality with FastQC - v0.12.1
    • FastQC source: Bioinformatics Group at the Babraham Institute, UK.
  8. Assess Reads Alignment Quality using Qualimap - v2.2.1
    • Okonechnikov K, Conesa A, Garc a-Alcalde F. Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data. Bioinformatics. 2016;32: 292 294. doi:10.1093/bioinformatics/btv566
  9. Classify Microbes with GTDB-Tk - v2.3.2
    • Pierre-Alain Chaumeil, Aaron J Mussig, Philip Hugenholtz, Donovan H Parks. GTDB-Tk v2: memory friendly classification with the genome taxonomy database. Bioinformatics, Volume 38, Issue 23, 1 December 2022, Pages 5315 5316. DOI: https://doi.org/10.1093/bioinformatics/btac672
    • 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
    • Donovan H Parks, Maria Chuvochina, Christian Rinke, Aaron J Mussig, Pierre-Alain Chaumeil, Philip Hugenholtz. GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. Nucleic Acids Research, Volume 50, Issue D1, 7 January 2022, Pages D785 D794. DOI: https://doi.org/10.1093/nar/gkab776
    • 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
    • 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
    • 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
    • Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH, Koren S, Phillippy AM. Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol. 2016 Jun 20;17(1):132. DOI: 10.1186/s13059-016-0997-x
  10. Insert Genome Into SpeciesTree - v2.2.0
    • Price MN, Dehal PS, Arkin AP. FastTree 2 Approximately Maximum-Likelihood Trees for Large Alignments. PLoS One. 2010;5. doi:10.1371/journal.pone.0009490
  11. 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. Visualize assembly coverage using Circos -v0.69-8
    • M Krzywinski, J Schein, I Birol, J Connors, R Gascoyne, D Horsman, SJ Jones, MA Marra. Circos: An information aesthetic for comparative genomics. Genome Research. 2009. doi:10.1101/gr.092759.109
    • Circos source: