BioHPC Cloud Software
There are 1204 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.
3D Slicer, 3d-dna, 454 gsAssembler or gsMapper, a5, ABRicate, ABruijn, ABySS, AdapterRemoval, adephylo, Admixtools, Admixture, AF_unmasked, AFProfile, AGAT, agrep, albacore, Alder, AliTV-Perl interface, AlleleSeq, ALLMAPS, ALLPATHS-LG, Alphafold, alphapickle, Alphapulldown, AlphScore, AMOS, AMPHORA, amplicon.py, AMRFinder, analysis, ANGSD, AnnotaPipeline, Annovar, ant, antiSMASH, anvio, apollo, arcs, ARGweaver, aria2, ariba, Arlequin, ART, ASEQ, aspera, assembly-stats, ASTRAL, atac-seq-pipeline, ataqv, athena_meta, ATLAS, Atlas-Link, ATLAS_GapFill, atom, ATSAS, Augustus, AWS command line interface, AWS v2 Command Line Interface, axe, axel, BA3, BactSNP, bakta, bamsnap, bamsurgeon, bamtools, bamUtil, barcode_splitter, BarNone, Basset, BayeScan, Bayescenv, bayesR, baypass, bazel, BBMap/BBTools, BCFtools, BCL convert, bcl2fastq, BCP, bdbag, Beagle, beagle-lib, BEAST, BEAST X, Beast2, bed2diffs, bedops, BEDtools, bettercallsal, bfc, bgc, bgen, bicycle, BiG-SCAPE, bigQF, bigtools, bigWig, bioawk, biobakery, biobambam, Bioconductor, biom-format, BioPerl, BioPython, Birdsuite, biscuit, Bismark, Blackbird, blasr, BLAST, BLAST_to_BED, blast2go, BLAT, BlobToolKit, BLUPF90, BMGE, bmtagger, bonito, Boost, Bowtie, Bowtie2, BPGA, Bracken, BRAKER, BRAT-NextGen, BRBseqTools, BreedingSchemeLanguage, breseq, brocc, BSBolt, bsmap, BSseeker2, btyper3, BUSCO, BUSCO Phylogenomics, BWA, bwa-mem2, bwa-meth, bwtool, cactus, CAFE, CAFE5, caffe, cagee, canu, Canvas, CAP3, caper, CarveMe, catch, cBar, CBSU RNAseq, CCMetagen, CCTpack, cd-hit, cdbfasta, cdo, CEGMA, CellRanger, cellranger-arc, cellranger-atac, cellranger-dna, centrifuge, centroFlye, CFM-ID, CFSAN SNP pipeline, CheckM, CheckM2, chimera, ChimeraTE, chimerax, chip-seq-pipeline, chromosomer, Circlator, Circos, Circuitscape, CITE-seq-Count, ClermonTyping, clues, CLUMPP, clust, Clustal Omega, CLUSTALW, Cluster, cmake, CMSeq, CNVnator, coinfinder, colabfold, CombFold, Comparative-Annotation-Toolkit, compat, CONCOCT, Conda, Cooler, copyNumberDiff, cortex_var, CoverM, crabs, CRISPRCasFinder, CRISPResso, crispron, Cromwell, CrossMap, CRT, cuda, Cufflinks, curatedMetagenomicDataTerminal, cutadapt, cuteSV, Cytoscape, dadi, dadi-1.6.3_modif, dadi-cli, danpos, DAS_Tool, dashing, DBSCAN-SWA, dDocent, DeconSeq, Deepbinner, deeplasmid, DeepTE, deepTools, Deepvariant, defusion, delly, DESMAN, destruct, DETONATE, dfast, diamond, dipcall, diploSHIC, discoal, Discovar, Discovar de novo, distruct, DiTASiC, DIYABC, dnmtools, Docker, dorado, DRAM, dREG, dREG.HD, drep, Drop-seq, dropEst, dropSeqPipe, dsk, dssat, Dsuite, dTOX, duphold, DWGSIM, dynare, ea-utils, earlgrey, ecCodes, ecopcr, ecoPrimers, ectyper, EDGE, edirect, EDTA, eems, EgaCryptor, EGAD, eggnog-mapper, EIGENSOFT, elai, ElMaven, EMBLmyGFF3, EMBOSS, EMIRGE, Empress, enfuse, EnTAP, entropy, epa-ng, ephem, epic2, ermineJ, ete3, EukDetect, EukRep, EVE, EVM, exabayes, exonerate, ExpansionHunterDenovo-v0.8.0, eXpress, FALCON, FALCON_unzip, Fast-GBS, fasta, FastAAI, FastANI, fastcluster, fastGEAR, FastME, FastML, fastp, FastQ Screen, fastq-multx-1.4.3, fastq_demux, fastq_pair, fastq_species_detector, FastQC, fastqsplitter, fastsimcoal2, fastspar, fastStructure, FastTree, FASTX, fcs, feems, feh, FFmpeg, fgbio, ficle, figaro, Fiji, Filtlong, fineRADstructure, fineSTRUCTURE, FIt-SNE, FlaGs2, flash, flash2, flexbar, Flexible Adapter Remover, Flye, FMAP, FragGeneScan, FragGeneScan, FRANz, freebayes, FSA, funannotate, FunGene Pipeline, FunOMIC, G-PhoCS, GADMA, GAEMR, Galaxy, Galaxy in Docker, GATK, gatk4, gatk4amplicon.py, gblastn, Gblocks, GBRS, gcc, GCTA, GDAL, gdc-client, GEM library, GEMMA, GeMoMa, GENECONV, geneid, GeneMark, GeneRax, Genespace, genomad, Genome STRiP, Genome Workbench, GenomeMapper, Genomescope, GenomeThreader, genometools, GenomicConsensus, genozip, gensim, GEOS, germline, gerp++, GET_PHYLOMARKERS, gfaviz, GffCompare, gffread, giggle, git, glactools, GlimmerHMM, GLIMPSE, GLnexus, Globus connect personal, GMAP/GSNAP, gmx_MMPBSA, GNU Compilers, GNU parallel, go-perl, GO2MSIG, GONE, GoShifter, gradle, graftM, grammy, GraPhlAn, graphtyper, graphviz, greenhill, GRiD, gridss, Grinder, grocsvs, GROMACS, GroopM, GSEA, gsort, GTDB-Tk, GTFtools, Gubbins, gunc, GUPPY, gvcftools, hail, hal, HapCompass, HAPCUT, HAPCUT2, hapflk, HaploMerger, Haplomerger2, haplostrips, HaploSync, HapSeq2, harpy, HarvestTools, haslr, hdf5, helixer, hget, hh-suite, HiC-Pro, hic_qc, HiCExplorer, HiFiAdapterFilt, hifiasm, hificnv, HISAT2, HMMER, Homer, HOTSPOT, HTSeq, htslib, https://github.com/CVUA-RRW/RRW-PrimerBLAST, hugin, humann, HUMAnN2, hybpiper, HyLiTE, Hyper-Gen, hyperopt, HyPhy, hyphy-analyses, iAssembler, IBDLD, IBDNe, IBDseq, idba, IDBA-UD, idemux, IDP-denovo, idr, idseq, IgBLAST, IGoR, IGV, IMa2, IMa2p, IMAGE, ImageJ, ImageMagick, Immcantation, impute2, impute5, IMSA-A, INDELseek, infernal, Infomap, inspector, inStrain, inStrain_lite, InStruct, Intel MKL, InteMAP, InterProScan, ipyrad, IQ-TREE, iRep, isoseq, JaBbA, jags, Jane, java, jbrowse, JCVI, jellyfish, jsalignon/cactus, juicer, julia, jupyter, jupyterlab, kaiju, kallisto, Kent Utilities, keras, khmer, kinfin, king, kma, KMC, KmerFinder, KmerGenie, kneaddata, kraken, KrakenTools, KronaTools, kSNP, kWIP, LACHESIS, lammps, LAPACK, lapels, LAST, lastz, lcMLkin, LDAK, LDhat, LeafCutter, leeHom, lep-anchor, Lep-MAP3, LEVIATHAN, lftp, Liftoff, lifton, Lighter, LinkedSV, LINKS, localcolabfold, LocARNA, LocusZoom, lofreq, longranger, Loupe, LS-GKM, LTR_retriever, LUCY, LUCY2, LUMPY, lyve-SET, m6anet, Macaulay2, MACE, MACS, MaCS simulator, MACS2, macs3, maffilter, MAFFT, mafTools, MAGeCK, MAGeCK-VISPR, Magic-BLAST, magick, MAGScoT, MAKER, manta, mapDamage, mapquik, MAQ, MARS, MASH, mashtree, Mashtree, MaSuRCA, MATLAB, Matlab_runtime, Mauve, MaxBin, MaxQuant, McClintock, mccortex, mcl, MCscan, MCScanX, medaka, medusa, megahit, MeGAMerge, MEGAN, MELT, MEME Suite, MERLIN, merqury, MetaBAT, MetaBinner, MetaboAnalystR, MetaCache, MetaCRAST, metaCRISPR, metamaps, MetAMOS, MetaPathways, MetaPhlAn, metapop, metaron, MetaVelvet, MetaVelvet-SL, metaWRAP, methpipe, mfeprimer, MGmapper, MicrobeAnnotator, microtrait, MIDAS, MiFish, Migrate-n, mikado, MinCED, minigraph, Minimac3, Minimac4, minimap2, miniprot, mira, miRDeep2, mirge3, miRquant, MISO, MITObim, MitoFinder, mitohelper, MitoHiFi, mity, MiXCR, MixMapper, MKTest, mlift, mlst, MMAP, MMSEQ, MMseqs2, MMTK, MobileElementFinder, modeltest, MODIStsp-2.0.5, module, moments, momi, MoMI-G, mongo, mono, monocle3, mosdepth, mothur, MrBayes, mrcanavar, mrsFAST, msdial, msld, MSMC, msprime, MSR-CA Genome Assembler, msstats, MSTMap, mugsy, MultiQC, multiz-tba, MUMandCo, MUMmer, mummer2circos, muscle, MUSIC, Mutation-Simulator, muTect, myte, MZmine, nag-compiler, namfinder, nanocompore, nanofilt, NanoPlot, Nanopolish, nanovar, ncbi_datasets, ncftp, ncl, NECAT, Nemo, Netbeans, NEURON, new_fugue, Nextflow, NextGenMap, NextPolish2, nf-core/rnaseq, ngmlr, NGS_data_processing, NGSadmix, ngsDist, ngsF, ngsLD, NGSNGS, NgsRelate, ngsTools, NGSUtils, NINJA, NLR-Annotator, NLR-Parser, NLRtracker, Novoalign, NovoalignCS, nQuire, NRSA, NuDup, numactl, nvidia-docker, nvtop, Oases, OBITools, Octave, OMA, Oneflux, OpenBLAS, openmpi, openslide, openssl, ORFeus, orthodb-clades, OrthoFinder, orthologr, Orthomcl, pacbio, PacBioTestData, PAGIT, pairtools, pal2nal, paleomix, PAML, panacus, panaroo, pandas, pandaseq, pandoc, pangene, PanPhlAn, Panseq, pantools, Parsnp, PASA, PASTEC, PAUP*, pauvre, pb-assembly, pbalign, pbbam, pbh5tools, PBJelly, pblat, pbmm2, PBSuite, pbsv, pbtk, PCAngsd, pcre, pcre2, PeakRanger, PeakSplitter, PEAR, PEER, PennCNV, peppro, PERL, PfamScan, pgap, PGDSpider, ph5tools, Phage_Finder, pharokka, phasedibd, PHAST, phenopath, Phobius, PHRAPL, PHYLIP, PhyloCSF, phyloFlash, phylophlan*, PhyloPhlAn2, phylophlan3, phyluce, PhyML, phyx, Picard, PICRUSt2, pigz, Pilon, Pindel, piPipes, PIQ, pixy, PlasFlow, platanus, Platypus, plink, plink2, Plotly, plotsr, plumed, pocp, Point Cloud Library, popbam, PopCOGenT, PopLDdecay, Porechop, poretools, portcullis, POUTINE, pplacer, PRANK, preseq, pretext-suite, primalscheme, primer3, PrimerBLAST, PrimerPooler, prinseq, prodigal, progenomics, progressiveCactus, PROJ, prokka, Proseq2, ProtExcluder, protolite, PSASS, psmc, psutil, pullseq, purge_dups, pyani, PyCogent, pycoQC, pyfaidx, pyGenomeTracks, PyMC, pymol-open-source, pyopencl, pypy, pyRAD, pyrho, Pyro4, pyseer, PySnpTools, python, PyTorch, PyVCF, qapa, qcat, QIIME, QIIME2, QTCAT, Quake, Qualimap, QuantiSNP2, QUAST, quickmerge, QUMA, QuPath, R, RACA, racon, rad_haplotyper, RADIS, RadSex, RagTag, rapt, RAPTR-SV, RATT, raven, RAxML, raxml-ng, Ray, rck, rclone, Rcorrector, RDP Classifier, REAGO, REAPR, Rebaler, reCOGnizer, Red, ReferenceSeeker, regenie, regtools, Relate, RelocaTE2, Repbase, RepeatMasker, RepeatModeler, RERconverge, ReSeq, resistify, RevBayes, RFdiffusion, RFMix, RGAAT, rgdal, RGI, Rgtsvm, Ribotaper, ripgrep, rJava, rMATS, RNAMMER, rnaQUAST, Rnightlights, roadies, Roary, Rockhopper, rohan, RoseTTAFold-All-Atom, RoseTTAFold2NA, rphast, Rqtl, Rqtl2, RSAT, RSEM, RSeQC, RStudio, rtfbs_db, ruby, run_dbcan, sabre, SaguaroGW, salmon, SALSA, Sambamba, samblaster, sample, SampleTracker, samplot, samtabix, Samtools, Satsuma, Satsuma2, SCALE, scanorama, SCE-VCF, scikit-learn, Scoary, scoary-2, scTE, scythe, seaborn, SEACR, SecretomeP, segul, self-assembling-manifold, selscan, seqfu, seqkit, SeqPrep, seqtk, SequelTools, sequenceTubeMap, Seurat, sf, sgrep, sgrep sorted_grep, SHAPEIT, SHAPEIT4, SHAPEIT5, shasta, Shiny, shoelaces, shore, SHOREmap, shortBRED, SHRiMP, sickle, sift4g, SignalP, SimPhy, simuPOP, sina, SINGER, singularity, sinto, sirius, sistr_cmd, skani, SKESA, skewer, SLiM, SLURM, smap, smash, smcpp, smoove, SMRT Analysis, SMRT LINK, snakemake, snap, SnapATAC, snapatac2, SNAPP, SnapTools, snATAC, SNeP, Sniffles, snippy, snp-sites, snpArcher, SnpEff, SNPgenie, SNPhylo, SNPsplit, SNVPhyl, SOAP2, SOAPdenovo, SOAPdenovo-Trans, SOAPdenovo2, SoloTE, SomaticSniper, songbird, sorted_grep, spaceranger, SPAdes, SPALN, SparCC, sparsehash, SPARTA, speedseq, split-fasta, SQANTI3, sqlite, SqueezeMeta, SQuIRE, SRA Toolkit, srst2, ssantichaivekin/empress, stacks, Stacks 2, stairway-plot, stampy, STAR, staramr, Starcode, statmodels, stellarscope, STITCH, STPGA, StrainPhlAn, strawberry, Strelka, stringMLST, StringTie, STRUCTURE, Structure_threader, Struo2, stylegan2-ada-pytorch, subread, sumatra, supernova, suppa, SURPI, surpyvor, SURVIVOR, sutta, SV-plaudit, SVaBA, SVclone, SVDetect, svengine, SVseq2, svtools, svtyper, svviz2, SWAMP, sweed, SweepFinder, SweepFinder2, sweepsims, swiss2fasta.py, sword, syri, tabix, tagdust, Taiji, tama, Tandem Repeats Finder (TRF), tardis, TargetP, TASSEL 3, TASSEL 4, TASSEL 5, tax_myPHAGE, tbl2asn, tcoffee, TE-Aid, telescope, TensorFlow, TEToolkit, TEtranscripts, texlive, TFEA, tfTarget, thermonucleotideBLAST, ThermoRawFileParser, TMHMM, tmux, Tomahawk, TopHat, Torch, traitRate, Trans-Proteomic Pipeline (TPP), TransComb, TransDecoder, TRANSIT, transrate, TRAP, tree, treeCl, treemix, treePL, Trim Galore!, trimal, trimmomatic, Trinity, Trinotate, TrioCNV2, tRNAscan-SE, Trycycler, UBCG2, UCSC Kent utilities, ullar, ultra, ultraplex, UMAP, UMI-tools, umi-transfer, UMIScripts, Unicycler, UniRep, unitig-caller, unrar, usearch, VALET, valor, vamb, variabel, Variant Effect Predictor, VarScan, VCF-kit, vcf2diploid, vcf2phylip, vcfCooker, vcflib, vcftools, vdjtools, Velvet, vep, VESPA, vg, Vicuna, ViennaRNA, VIP, viral-ngs, virmap, VirSorter, VirusDetect, VirusFinder 2, visidata, vispr, VizBin, vmatch, vscode, vsearch, vt, WASP, webin-cli, wget, wgs-assembler (Celera), WGSassign, What_the_Phage, wiggletools, windowmasker, wine, Winnowmap, Wise2 (Genewise), wombat, Xander_assembler, xpclr, yaha, yahs, yap
Details for PASA (If the copy-pasted commands do not work, use this tool to remove unwanted characters)
| Name: | PASA |
| Version: | 2.4.1 |
| OS: | Linux |
| About: | a eukaryotic genome annotation tool that exploits spliced alignments of expressed transcript sequences to automatically model gene structures, and to maintain gene structure annotation consistent with the most recently available experimental sequence data |
| Added: | 4/17/2017 3:59:00 PM |
| Updated: | 7/27/2020 4:55:04 PM |
| Link: | http://pasapipeline.github.io/ |
| Notes: | Instructions to run latest version (for instruction to run 2.1.0, see text below)
## create a data directory, and keep your data files in this directory /workdir/$USER/pasa
mkdir -p /workdir/$USER/pasa
mkdir -p /workdir/$USER/tmp
## pull docker image from docker hub
docker1 pull pasapipeline/pasapipeline
## run command
docker1 run --rm -it -v /workdir/$USER/tmp/:/tmp -v /workdir/$USER/pasa/:/pasa pasapipeline/pasapipeline bash -c
'cd /pasa && /usr/local/src/PASApipeline/Launch_PASA_pipeline.pl
-c alignAssembly.conf -C -R --ALIGNER gmap -g genome.fa -t transcripts.cdna.fasta '
## output files should be in /workdir/$USER/pasa/
## remove the docker image if you do not need it any more
docker1 rmi pasapipeline/pasapipeline
Instructions to run 2.1.0
The PASA pipeline is implemented in Docker.
Follow these steps to run PASA.
1. Prepare workdir and sample data
mkdir /workdir/xxxxx # replace xxxxx with your user id
cp -r /programs/pasa/sample_data ./
2. start PASA docker instance:
docker1 import /programs/pasa/pasa2.1.0_localdb.tar
docker1 images
docker1 run -d -t -e PASAHOME=/usr/local/PASApipeline-2.1.0 biohpc_xxxxx/pasa2.1.0_localdb /bin/bash #replace xxxxx with your user id.
docker1 ps # this command will show the container ID that is needed for running the docker instance. A container ID look like: "27fc60656acd"
2. start mysql in the docker instance
cp -r /programs/pasa/mysql /workdir/xxxxx/ # replace xxxxx with your user id
chmod -R uog+rwX /workdir/xxxxx/mysql
docker1 exec xxxxxxxxxxx service mysql start # replace xxxxxxxxx with the container ID
3. The following steps are how to run PASA on sample data (located in /workdir/xxxxx/sample_data). To work on real data, you can create a new directory /workdir/xxxxx/mydata, and use the same procedure. You need to copy the *.config files into your data directory and modify it.
The directory /workdir is shared between the Docker instance (/workdir )and the host machine (/workdir/xxxxx), so that /workdir/xxxxx/sample_data directory can be seen both through host and Docker instance.(xxxxx is your user ID).
## run seqclean to remove adapter (Optional)
cd /workdir/xxxxx/sample_data
/programs/seqclean-x86_64/seqclean all_transcripts.fasta -v /workdir/xxxxx/sample_data/UniVec
## pasa
## to get pasa help menu
docker1 exec 601a0a784b52 /bin/bash -c "\$PASAHOME/scripts/Launch_PASA_pipeline.pl"
## to run pasa on sample data
docker1 exec 601a0a784b52 /bin/bash -c "cd /workdir/sample_data; \$PASAHOME/scripts/Launch_PASA_pipeline.pl -c alignAssembly.config -C -R -g genome_sample.fasta -t all_transcripts.fasta.clean -T -u all_transcripts.fasta -f FL_accs.txt --ALIGNERS blat,gmap --CPU 8 >& log " &
## to run pasa on real data. you will need to put alignAssembly.config, transcript and genome file in your real data director.
You can monitor the work progress by docker1 exec 601a0a784b52 ps -u root, or monitor /workdir/xxxxx/sample_data/log file.
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