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BioHPC Cloud:
: User Guide

 


BioHPC Cloud Software

There is 545 software titles installed in BioHPC Cloud. The sofware is available on all machines (unless stated otherwise in notes), complete list of programs is below, please click on a title to see details and instructions. Tabular list of software is available here

Please read details and instructions before running any program, it may contain important information on how to properly use the software in BioHPC Cloud.

, 454 gsAssembler or gsMapper, a5, ABRicate, ABruijn, ABySS, AdapterRemoval, Admixtools, Admixture, agrep, albacore, Alder, AlleleSeq, ALLMAPS, ALLPATHS-LG, AMOS, AMPHORA, analysis, ANGSD, Annovar, antiSMASH, apollo, Arlequin, aspera, Atlas-Link, ATLAS_GapFill, ATSAS, Augustus, AWS command line interface, axe, bamtools, Basset, BayeScan, Bayescenv, BBmap, BCFtools, bcl2fastq, BCP, Beagle, Beagle4, Beast2, bedops, BEDtools, bfc, bgc, bigQF, bigWig, bioawk, biobambam, Bioconductor, biom-format, BioPerl, BioPython, Birdsuite, Bismark, blasr, BLAST, blast2go, BLAT, BMGE, bmtagger, Boost, Bowtie, Bowtie2, BPGA, BreedingSchemeLanguage, breseq, BSseeker2, BUSCO, BWA, bwa-meth, cactus, canu, CAP3, cBar, CBSU RNAseq, CCTpack, cd-hit, CEGMA, CellRanger, centrifuge, CFSAN SNP pipeline, CheckM, chromosomer, Circlator, Circos, Circuitscape, CLUMPP, Clustal Omega, CLUSTALW, Cluster, cmake, CNVnator, compat, CONCOCT, copyNumberDiff, cortex_var, CRISPRCasFinder, CrossMap, CRT, cuda, Cufflinks, cutadapt, dadi, dadi-1.6.3_modif, dDocent, DeconSeq, deepTools, defusion, delly, destruct, DETONATE, diamond, Discovar, Discovar de novo, distruct, Docker, dREG, dREG.HD, Drop-seq, dropSeqPipe, dsk, ea-utils, ecopcr, ectyper, EDGE, edirect, EIGENSOFT, EMBOSS, entropy, ephem, ermineJ, ete3, exabayes, exonerate, eXpress, FALCON, FALCON_unzip, Fast-GBS, fasta, fastcluster, FastML, fastp, fastq_species_detector, FastQC, fastsimcoal26, fastStructure, FastTree, FASTX, fineRADstructure, fineSTRUCTURE, FIt-SNE, flash, flash2, flexbar, Flexible Adapter Remover, Flye, FMAP, FragGeneScan, freebayes, FunGene Pipeline, GAEMR, Galaxy, GATK, gatk4, GBRS, gcc, GCTA, gdc-client, GEM library, GEMMA, geneid, GeneMark, GeneMarker, Genome STRiP, GenomeMapper, GenomeStudio (Illumina), GenomicConsensus, gensim, germline, giggle, GMAP/GSNAP, GNU Compilers, GNU parallel, gradle-4.4, graftM, graphviz, Grinder, GROMACS, GSEA, Gubbins, HapCompass, HAPCUT, HAPCUT2, hapflk, HaploMerger, Haplomerger2, HapSeq2, HarvestTools, HiC-Pro, HiCExplorer, HISAT2, HMMER, Homer, HOTSPOT, HTSeq, HUMAnN2, hyperopt, HyPhy, iAssembler, IBDLD, IDBA-UD, IDP-denovo, IgBLAST, IGV, IMa2, IMa2p, IMAGE, ImageJ, impute2, IMSA-A, INDELseek, infernal, InStruct, InteMAP, InterProScan, ipyrad, IQ-TREE, iRep, jags, java, jbrowse, jellyfish, JoinMap, julia, jupyter, kallisto, Kent Utilities, keras, khmer, KmerFinder, kraken, kSNP, kWIP, LACHESIS, LAST, lcMLkin, LDAK, leeHom, Lep-MAP3, Lighter, LINKS, LocusZoom, longranger, LUCY, LUCY2, LUMPY, lyve-SET, MACS, MaCS simulator, MACS2, MAFFT, mafTools, Magic-BLAST, MAKER, MAQ, MASH, MaSuRCA, Mauve, MaxBin, mccortex, megahit, MeGAMerge, MEGAN, MELT, MEME Suite, MERLIN, MetaBAT, metaCRISPR, MetAMOS, MetaPathways, MetaPhlAn, MetaVelvet, MetaVelvet-SL, MGmapper, Migrate-n, mira, miRDeep2, MISO (misopy), MITObim, MixMapper, MKTest, MMAP, MMSEQ, mosdepth, mothur, MrBayes, mrsFAST, msld, MSMC, msprime, MSR-CA Genome Assembler, msstats, MSTMap, mugsy, MultiQC, MUMmer, muscle, MUSIC, muTect, Nanopolish, ncftp, Nemo, Netbeans, NEURON, new_fugue, NextGenMap, NGS_data_processing, NGSadmix, ngsDist, ngsF, ngsTools, NGSUtils, NLR-Parser, Novoalign, NovoalignCS, nvidia-docker, Oases, OBITools, Orthomcl, PacBioTestData, PAGIT, paleomix, PAML, pandas, pandaseq, PanPhlAn, Panseq, Parsnp, PASA, PASTEC, PAUP*, pbalign, pbh5tools, PBJelly, PBSuite, PeakRanger, PeakSplitter, PEAR, PEER, PennCNV, PfamScan, PGDSpider, ph5tools, Phage_Finder, PHAST, PHRAPL, PHYLIP, PhyloCSF, phylophlan, PhyML, Picard, pigz, Pilon, Pindel, piPipes, PIQ, PlasFlow, Platypus, plink, Plotly, popbam, Porechop, prinseq, prodigal, progressiveCactus, prokka, psutil, pyani, PyCogent, pyfaidx, pyGenomeTracks, PyMC, pyRAD, Pyro4, PySnpTools, PyTorch, PyVCF, QIIME, QIIME2 q2cli, QTCAT, Quake, Qualimap, QuantiSNP2, QUAST, QUMA, R, RACA, racon, RADIS, RAPTR-SV, RAxML, Ray, Rcorrector, RDP Classifier, REAPR, RepeatMasker, RepeatModeler, RFMix, RGI, ripgrep, RNAMMER, rnaQUAST, Roary, Rqtl, Rqtl2, RSEM, RSeQC, RStudio, rtfbs_db, sabre, SaguaroGW, salmon, Sambamba, samblaster, SampleTracker, Samtools, Satsuma, Satsuma2, scikit-learn, Scoary, scythe, selscan, Sentieon, SeqPrep, seqtk, Seurat, sgrep, sgrep sorted_grep, SHAPEIT, shore, SHOREmap, shortBRED, SHRiMP, sickle, SignalP, simuPOP, singularity, sistr_cmd, SKESA, skewer, SLiM, smcpp, SMRT Analysis, SMRT LINK, snakemake, snap, SNAPP, snATAC, SNeP, snippy, SNPhylo, SOAP2, SOAPdenovo, SOAPdenovo-Trans, SOAPdenovo2, SomaticSniper, sorted_grep, SPAdes, SparCC, SPARTA, SRA Toolkit, srst2, stacks, Stacks 2, stairway-plot, stampy, STAR, Starcode, statmodels, STITCH, STPGA, strawberry, Strelka, stringMLST, StringTie, STRUCTURE, supernova, SURPI, sutta, SVDetect, svtools, SweepFinder, sweepsims, tabix, Tandem Repeats Finder (TRF), TASSEL 3, TASSEL 4, TASSEL 5, tcoffee, TensorFlow, TEToolkit, TMHMM, tmux, TopHat, Torch, traitRate, Trans-Proteomic Pipeline (TPP), TransComb, TransDecoder, transrate, TRAP, treeCl, treemix, trimmomatic, Trinity, Trinotate, tRNAscan-SE, UCSC Kent utilities, UMAP, UMI-tools, Unicycler, unrar, usearch, Variant Effect Predictor, VarScan, vcf2diploid, vcfCooker, vcflib, vcftools, Velvet, VESPA, vg, ViennaRNA, VIP, VirSorter, VirusDetect, VirusFinder 2, VizBin, vsearch, WASP, wgs-assembler (Celera), Wise2 (Genewise), Xander_assembler, yaha

Details for progressiveCactus (hide)

Name:progressiveCactus
Version:20181008
OS:Linux
About:Whole genome aligner
Added:11/18/2014 12:56:38 PM
Updated:10/8/2018 12:10:00 PM
Link:https://github.com/glennhickey/progressiveCactus
Notes:

Run the program like this:

/programs/progressiveCactus20170717/bin/runProgressiveCactus.sh [options]

Plese note that BioHPC is not a cluster environment and SGE (or any other queueuing system) is not available. Therefore, any cluster-specific options of Cactus will not work.

Note also, that Cactus is very memory- and CPU-intensive (see the maual for details). Therefore, the best machines to run it on are the large-memory machines cbsulm*.

 

 


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