Name | Modified | Size | Downloads / Week |
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nonpareil_medium.sh | 2018-06-25 | 226 Bytes | |
nonpareil_sub_high.sh | 2018-06-25 | 232 Bytes | |
nonpareil_sub_low.sh | 2018-06-25 | 229 Bytes | |
nonpareil_sub_medium.sh | 2018-06-25 | 238 Bytes | |
nonpareil_low.sh | 2018-06-25 | 217 Bytes | |
nonpareil_high.sh | 2018-06-25 | 220 Bytes | |
Totals: 6 Items | 1.4 kB | 0 |
You can find here all script files and supplementary materials of the paper entitled "Binning de Sequencias Anterior à Montagem em Metagenomas: um estudo de caso", available at http://... Files were organized into 7 folders, as follows: | docs: Folder which contains supplementary docs with additional information | subsampling: Folder which contains the scripts used to produce subsample files for downstream analysis ---| subsampling_low.sh: Script to generate low complexity subsample ---| subsampling_medium.sh: Script to generate medium complexity subsample ---| subsampling_high.sh: Script to generate high complexity subsample | diversity_coverage: Folder which contains the scripts used to estimate the level of coverage in each metagenomic dataset ---| nonpareil_sub_low.sh: Script to generate the estimate of diversity of low complexity subsample ---| nonpareil_sub_medium.sh: Script to generate the estimate of diversity of medium complexity subsample ---| nonpareil_sub_high.sh: Script to generate the estimate of diversity of high complexity subsample ----| nonpareil_low.sh: Script to generate the estimate of diversity of low complexity original sample ---| nonpareil_medium.sh: Script to generate the estimate of diversity of medium complexity original sample ---| nonpareil_high.sh: Script to generate the estimate of diversity of high complexity original sample | taxonomic_binning: Folder with scripts to perform taxonomic binning (based on Kaiju classification) ---| kaiju.sh: Script to generate Kaiju classifications for each sample ---| kaiju_binner: binning tool developed to cluster reads by taxonomy ---| src: Python source codes ---| group_read_ids_by_taxon: Program to group read ids by their taxonomy ---| separate_reads_by_ids: Program to collect read information of read groups and produce FASTQ files ---| script.sh: Script to process Kaiju output files and then produce taxonomic bins of reads ---| read_ids.tar.gz: Read ids used for taxonomic binning | genomic_binning: Folder with scripts to perform genomic binning ---| metaprob.sh: Script perform genomic binning using MetaProb ---| fa2fq.py: Script to produce FASTQ files for each bin from MetaProb | assemblies: Folder with scripts to assemble reads into contigs ---| taxonomic_bins: Scripts and assembly results of taxonomic bins ---| megahit.sh: Script for assembling each taxonomic bin (output contigs are available in file assemblies.tar.gz) ---| assemblies.tar.gz: Final assemblies for taxonomic binning ---| genomic_bins: Scripts and assembly results of genomic bins ---| assemblies.tar.gz: Final assemblies for genomic binning ---| genomic_bins: Taxonomic description of each bin and merged clusters ---| megahit.sh: Script for assembling each genomic bin (output contigs are available in file assemblies.tar.gz) ---| no_binning: Scripts and assembly results of assembly with no binning ---| assemblies.tar.gz: Final assemblies without binning ---| megahit.sh: Script for assembling each sample (output contigs are available in file assemblies.tar.gz) | evaluation: Scripts to evaluate assemblies ---| checkm.sh: Script for assessing diversity coverage of taxonomic and genomic approaches ---| metaquast.sh: Script for assessing assemblies quality of both taxonomic and genomic approaches ---| fragGene.sh: Script to analyze CDS for each assembly ---| fragGeneCounter.R: R Script to be executed on each output of FragGene (listed on fragGene.sh) ---| taxonomic_list: List of reference taxons used for MetaQuast evaluation of taxonomic binning ---| genomic_list: List of reference taxons used for MetaQuast evaluation of genomic binning ---| no_binning_list: List of reference taxons used for MetaQuast evaluation of assembly with no binning