singlem | resistant microbial community profiling of shotgun | Genomics library
kandi X-RAY | singlem Summary
kandi X-RAY | singlem Summary
SingleM is a tool to find the abundances of discrete operational taxonomic units (OTUs) directly from shotgun metagenome data, without heavy reliance on reference sequence databases. It is able to differentiate closely related species even if those species are from lineages new to science. SingleM finds sequences (reads or genomic fragments) that encode conserved single copy marker genes. It specifically finds reads which cover short (20 amino acid / 60 base pair) highly conserved sections. These small sections are used as OTU sequences, that exist independent of taxonomy. Focusing on just those sequences that cover conserved stretches of singlem copy marker genes allows a variety of analyses become tractable. Where GraftM can give a taxonomic overview of your community e.g. proportion of a community from a particular taxonomic family, SingleM finds sequence-based OTUs from raw, untrimmed metagenomic reads.
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Top functions reviewed by kandi - BETA
- Renew an OM cluster
- Read an Archive OTU table
- Write the tree to a file
- Condense the tensorflow model
- Wrapper around chainsaw
- Convert the best position to a list of positions
- Find the lowercase columns in the protein alignment
- Compares the distance between two sequences
- Return the taxonomy for this package
- Generates a unifrac file for each gene
- Exclude missing targets from the given package
- Writes a clustered OTU table
- Query the sequence database
- Compile a GraftM package into a single package
- Generate a Biobox Biobox Biopython table
- Run single variant extraction
- Write the translated OTU table to a table
- Write the paired OTU and OTU table
- Trims the given package
- Generate a Metapackage
- Create a taxonomic profile
- Print the samples in the database
- Compile a single GraftM package into a single package
- Run a command via os system
- Convert an OTU table into a KATTA table
- Compile a single GraftM package
singlem Key Features
singlem Examples and Code Snippets
singlem summarise --input_otu_table otu_table.csv --unifrac_by_otu otu_table.unifrac
convertToEBD.py otu_table.unifrac.4.12.ribosomal_protein_L11_rplK.unifrac otu_table.ebd
ExpressBetaDiversity -s otu_table.ebd -c Bray-Curtis
singlem pipe --sequenc
singlem summarise --input_otu_tables otu_table.csv --krona my_krona.html
singlem summarise --input_otu_tables otu_table1.csv otu_table2.csv --output_otu_table combined.otu_table.csv
singlem summarise --input_otu_tables otu_table.csv --cluster --clu
singlem pipe --sequences my_sequences.fastq.gz --otu_table otu_table.csv --threads 24
gene sample sequence num_hits coverage taxonomy
4.21.ribosomal_protein_S19_rpsS my_sequences TGGTCGCGCCGTTCGACGGTCACTCCGGACTTCATCGGCCTACA
Community Discussions
Trending Discussions on singlem
QUESTION
How can I make callback and variables so that I can save data to my database?
I have node app.post like below. I need to convert form data to mongoose model. The data what I'm getting is in two arrays and only data which has amount larger than 0 is searched and saved, but this don't work and I can't get around it.
I think that looping and searching for ingredients should be a function and Meal.save should be in callback but I don't know how. I've been banging my head into this problem for weeks and I have googled, but this just does not open to me. Please help me with this.
Thanks in advance!
app.js
...ANSWER
Answered 2017-Jul-29 at 05:49You can check this stackoverflow answer for getting records respective to ids. mongodb/mongoose findMany - find all documents with IDs listed in array
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install singlem
A docker image generated from the conda package is available on DockerHub. After installing Docker, run the following, replacing [RELEASE_TAG] with a tag from https://hub.docker.com/r/wwood/singlem/tags:.
SingleM has migrated to Python 3. To install the Python libraries required:. You may need super-user privileges.
smafa >= 0.5.0
VSEARCH
sed - is standard on most linux systems
OrfM >= 0.2.0
HMMER >= 3.1b1
mfqe >= 0.5.0
pplacer >= 1.1.alpha17
KronaTools >= 2.4
diamond >= 2.0.0
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