Key | Value |
---|---|
Created on | 2019-06-13 01:00:40 |
Version | 31 |
Minimum contig length | 1,000 |
Number of contigs | 91 |
Number of splits | 412 |
Total nucleotides | 8.47 Mb |
SNVs profiled | 1 |
SCVs profiled | 0 |
Key | Value |
---|---|
Created on | 2019-06-13 01:00:40 |
Version | 12 |
Split length | 20,000 |
Number of contigs | 239 |
Number of splits | 560 |
Total nucleotides | 8.51 Mb |
K-mer size | 4 |
Genes are called | 1 |
Splits consider gene calls | 1 |
Gene function sources | COG_CATEGORY, COG_FUNCTION |
No description is provided
Summary of of each bin. You can download the information below also as a TAB-delimited file. Here is another TAB-delimited file that reports data for each single profile (such as number of reads mapped, etc).
Bin | Source | Taxonomy | Total Size | Num Contigs | N50 | GC Content | Compl. | Red. | SCG Domain | |
---|---|---|---|---|---|---|---|---|---|---|
EVERYTHING | UNKNOWN | 91 | 217,699 | 66.44% | 1.44% | bacteria |
TAB-delimited matrix file for std_coverage: bins_across_samples/std_coverage.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 11.69 |
TAB-delimited matrix file for mean_coverage: bins_across_samples/mean_coverage.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 43.65 |
TAB-delimited matrix file for mean_coverage_Q2Q3: bins_across_samples/mean_coverage_Q2Q3.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 43.92 |
TAB-delimited matrix file for max_normalized_ratio: bins_across_samples/max_normalized_ratio.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 1.00 |
TAB-delimited matrix file for relative_abundance: bins_across_samples/relative_abundance.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 1.04 |
TAB-delimited matrix file for detection: bins_across_samples/detection.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 1.00 |
TAB-delimited matrix file for abundance: bins_across_samples/abundance.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 1.04 |
TAB-delimited matrix file for variability: bins_across_samples/variability.txt
Bin | B_CEP | |
---|---|---|
EVERYTHING | 0.51 |
This panel shows how much of the mapped data is recruited by each bin (and how much of the mapped data was not binned under 'splits_not_binned' column). The way these percents calculated is quite simple: summarize the mean coverage of each split in each bin, and normalize every bin with respect to each other. It is critical to remember that these values do not take the unasssambled data into account. This is how you should read this table: "X percent of all mapped reads in Sample Y mapped to splits that were binned into bin Z".
TAB-delimited matrix file for percent recruitment: bins_across_samples/bins_percent_recruitment.txt
Sample | EVERYTHING | __splits_not_binned__ |
---|---|---|
B_CEP | 100.00% | 0.00% |
An overview of genes and functions based on the information found in the contigs database. If you haven't assigned any functions, these tables will only contain coverages of ORFs across samples.
Bin | Total Size | Num Genes Identified | Tabular data | |
---|---|---|---|---|
EVERYTHING | 7,736 | 🔗 genes | gene_coverages | detection |
This panel shows you the result of non-single copy gene hits in your bins and contigs for each HMM profile. Here is a table that shows the total number of HMM hits in each bin for each HMM search type (from bins_across_samples/hmm_hit_totals.txt):
Bin | Ribosomal_RNAs | |
---|---|---|
EVERYTHING | 2 |
The distribution of each HMM item found in your HMM collections is shown below. Different search types will be presented in their cognate tabs.
For layers
The directory misc data layers contains TAB-delimited files for additional data stored under the following data group names for each sample/layer found in the merged database: default.
The default data group, which often is added by anvi'o automatically and contains important information, contained these keys: total_reads_mapped, num_SNVs_reported.
For items
None found :(