Reverse Dependencies of pyfastx

The following projects have a declared dependency on pyfastx:

• aMGSIM — aMGSIM: simulate ancient metagenomes for multiple synthetic communities
• amptk — AMPtk: amplicon tool kit
• atgtools — no summary
• bam2plot — Plot of coverage from bam file
• binette — Binette: accurate binning refinement tool to constructs high quality MAGs.
• bits-yoshi — miscellaneous BioInformatics ToolS
• buscolite — busco analysis for gene predictions
• caltha — A python package to process UMI tagged mixed amplicon metabarcoding data.
• conodictor — Prediction and classification of conopeptides
• delfies — delfies is a tool for the detection of DNA Elimination breakpoints
• geney — A Python package for gene expression modeling.
• hicstuff — General purpose stuff to generate and handle Hi-C data in its simplest form.
• himut — himut: single molecule somatic single-base substitution detection using PacBio CCS reads
• hkgfinder — find housekeeping genes in prokaryotic (meta)genomic data
• itsmostdef — Whats in my fastq file?
• mclumi — UMI de-duplication using mclUMI
• metator — A pipeline for binning metagenomic datasets from metaHiC data.
• mitywgs — A sensitive Mitochondrial variant detection pipeline from WGS data
• nextstrain-augur — A bioinformatics toolkit for phylogenetic analysis
• oligopool — Oligopool Calculator - Automated design and analysis of oligopool libraries
• ont-guppy-duplex-pipeline — Oxford Nanopore Technologies duplex pipeline scripts for guppy
• pixelgen-pixelator — A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays.
• pySeqRNA — pySeqRNA a python based RNA analysis package
• rlpipes — A standardized R-loop-mapping pipeline
• samsum — A light-weight python package for summarizing sequence coverage from SAM and BAM files
• seqbank — A database to quickly read and write DNA sequence data in numerical form.
• transigner — Long read-to-transcript assignment creator
• tresor — no summary
• umiche — no summary
• VirPipe — VirPipe is a easy-to-use computational pipeline to identify virus sequences from high-throughput sequencing reads.