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FROGS denoising: new tools replacing FROGS preprocess and FROGS clustering, allowing to perform the preprocess step and to chose between swarm and dada2 to produce ASVs.
Tools removed
FROGS preprocess: its functionality is integrated in the new FROGS denoising tool
FROGS clustering: its functionality is integrated in the new FROGS denoising tool
Global changes
remove short version of parameters and standardization of parameter names
add version and tool name in HTML reports
add subject length information (slen) and related perc_subject_coverage in BIOM metadata for each affiliation
remove and rename remaining tools/code with OTU term
possibility to swith color theme in HTML reports
Functions added
FROGS denoising:
add dada2 tool for Illumina paired-end data and PacBio long-reads data
add the possibility to perform a dereplication only instead of a clustering or denoising process
FROGS cluster stats tool integrated automatically in the HTML report
FROGS demultiplex:
speed-up the way to check if file is gzipped
FROGS taxonomic affiliation:
FROGS affiliation stats tool integrated automatically in the HTML report
Add subject length in BIOM
FROGS remove chimera:
No more possibility to give a count matrix as input file
FROGS cluster stats tool integrated automatically in the HTML report
FROGS itsx
FROGS cluster stats tool integrated automatically in the HTML report
FROGS cluster stats
Hierarchical clustering no more done by default (option --hierarchical-clustering added)
FROGS cluster filters
FROGS cluster stats tool integrated automatically in the HTML report
FROGS phyloseq structure: use the same colors for samples in all ordination plots
Bugs fixed
Standardization of empty affiliations in BIOM files (empty list instead of None)
impacts FROGS affiliation filters, FROGS biom to tsv, FROGS tsv to biom, FROGS cluster filters, FROGS taxnomic affiliation, libexec/biomTools.py
Phyloseq import and DESeq preprocess: allow files beginning with digits
Phyloseq import: remove empty samples and gives the information in the HTML report
DESeq preprocess: check samples names consistency between function abundance tsv file and sample_metadata
DESeq visualization
remove empty samples and taxa before plotting the heatmap
correct heatmap where there is only one ASV or Function differentially expressed
correct ipath3 associated color (higher = darker) and reduce width difference
correct associated color of LFC>0 or LFC<0 in ipath3 images
libexec/launch_hsp.py: correct path for tmp files
ASV without affiliation is deleted if a threshold on a blast metric is set in affiliation_filters.py
Affiliation_filters: Error message and exit if an ASV with a taxonomy has missing metrics (no data) because of a manual update
FROGSfunc functions: correction of the location of temporary files