BioHPC Cloud Software
There is 876 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-dna, 454 gsAssembler or gsMapper, a5, ABRicate, ABruijn, ABySS, AdapterRemoval, adephylo, Admixtools, Admixture, agrep, albacore, Alder, AlleleSeq, ALLMAPS, ALLPATHS-LG, Alphafold, AMOS, AMPHORA, amplicon.py, AMRFinder, analysis, ANGSD, Annovar, ant, antiSMASH, anvio, apollo, arcs, ARGweaver, Arlequin, ART, 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, BactSNP, bakta, bam2fastx, bamtools, bamUtil, BarNone, Basset, BayeScan, Bayescenv, baypass, BBmap, BCFtools, bcl2fastq, BCP, Beagle, Beast2, bedops, BEDtools, bfc, bgc, bgen, bigQF, bigWig, bioawk, biobakery, biobambam, Bioconductor, biom-format, BioPerl, BioPython, Birdsuite, Bismark, blasr, BLAST, BLAST_to_BED, blast2go, BLAT, BlobToolKit, BLUPF90, BMGE, bmtagger, Boost, Bowtie, Bowtie2, BPGA, Bracken, BRAKER, BRAT-NextGen, BreedingSchemeLanguage, breseq, brocc, BSseeker2, BUSCO, BWA, bwa-meth, cactus, CAFE, canu, CAP3, caper, CarveMe, catch, cBar, CBSU RNAseq, CCMetagen, CCTpack, cd-hit, cdbfasta, CEGMA, CellRanger, cellranger-arc, cellranger-atac, cellranger-dna, centrifuge, centroFlye, CFM-ID, CFSAN SNP pipeline, CheckM, chimera, chromosomer, Circlator, Circos, Circuitscape, CITE-seq-Count, clues, CLUMPP, clust, Clustal Omega, CLUSTALW, Cluster, cmake, CNVnator, compat, CONCOCT, Conda, Cooler, copyNumberDiff, cortex_var, CRISPRCasFinder, CRISPResso, CrossMap, CRT, cuda, Cufflinks, cutadapt, cuteSV, dadi, dadi-1.6.3_modif, danpos, dDocent, DeconSeq, Deepbinner, DeepTE, deepTools, defusion, delly, DESMAN, destruct, DETONATE, diamond, diploSHIC, discoal, Discovar, Discovar de novo, distruct, DiTASiC, DIYABC, Docker, dREG, dREG.HD, drep, drive, Drop-seq, dropEst, dropSeqPipe, dsk, dssat, Dsuite, dTOX, duphold, dynare, ea-utils, ecopcr, ecoPrimers, ectyper, EDGE, edirect, EDTA, eems, EgaCryptor, EGAD, EIGENSOFT, EMBOSS, EMIRGE, Empress, entropy, epa-ng, ephem, epic2, ermineJ, ete3, EVM, exabayes, exonerate, ExpansionHunterDenovo-v0.8.0, eXpress, FALCON, FALCON_unzip, Fast-GBS, fasta, FastANI, fastcluster, FastME, FastML, fastp, FastQ Screen, fastq_pair, fastq_species_detector, FastQC, fastqsplitter, fastsimcoal2, fastspar, fastStructure, FastTree, FASTX, feh, FFmpeg, fgbio, fineRADstructure, fineSTRUCTURE, FIt-SNE, flash, flash2, flexbar, Flexible Adapter Remover, Flye, FMAP, FragGeneScan, FragGeneScan, freebayes, FSA, FunGene Pipeline, G-PhoCS, GADMA, GAEMR, Galaxy in Docker, Galaxy Server, GATK, gatk4, gatk4amplicon.py, Gblocks, GBRS, gcc, GCTA, GDAL, gdc-client, GEM library, GEMMA, GENECONV, geneid, GeneMark, GeneMarker, Genome STRiP, GenomeMapper, GenomeStudio (Illumina), GenomeThreader, genometools, GenomicConsensus, gensim, GEOS, germline, gerp++, GET_PHYLOMARKERS, GffCompare, gffread, giggle, glactools, GlimmerHMM, GMAP/GSNAP, GNU Compilers, GNU parallel, go-perl, GO2MSIG, GoShifter, gradle-4.4, graftM, GraPhlAn, graphviz, GRiD, Grinder, GROMACS, GSEA, gsort, GTDB-Tk, GTFtools, Gubbins, GUPPY, hail, HapCompass, HAPCUT, HAPCUT2, hapflk, HaploMerger, Haplomerger2, haplostrips, HapSeq2, HarvestTools, haslr, hdf5, hget, hh-suite, HiC-Pro, HiCExplorer, HISAT2, HMMER, Homer, HOTSPOT, HTSeq, htslib, humann, HUMAnN2, hyperopt, HyPhy, hyphy-analyses, iAssembler, IBDLD, idba, IDBA-UD, IDP-denovo, idr, idseq, IgBLAST, IGoR, IGV, IMa2, IMa2p, IMAGE, ImageJ, ImageMagick, Immcantation, impute2, IMSA-A, INDELseek, infernal, Infomap, InStruct, Intel MKL, InteMAP, InterProScan, ipyrad, IQ-TREE, iRep, jags, Jane, java, jbrowse, JCVI, jellyfish, JoinMap, juicer, julia, jupyter, kallisto, Kent Utilities, keras, khmer, kinfin, king, KmerFinder, KmerGenie, kraken, KrakenTools, KronaTools, kSNP, kWIP, LACHESIS, lammps, LAST, lastz, lcMLkin, LDAK, LeafCutter, leeHom, lep-anchor, Lep-MAP3, lftp, Liftoff, Lighter, LinkedSV, LINKS, LocARNA, LocusZoom, lofreq, longranger, LS-GKM, LTR_retriever, LUCY, LUCY2, LUMPY, lyve-SET, MACE, MACS, MaCS simulator, MACS2, MAFFT, mafTools, Magic-BLAST, magick, MAKER, mapDamage, MAQ, MARS, MASH, mashtree, Mashtree, MaSuRCA, MATLAB, Mauve, MaxBin, McClintock, mccortex, mcl, MCscan, MCScanX, medusa, megahit, MeGAMerge, MEGAN, MELT, MEME Suite, MERLIN, MetaBAT, MetaCache, MetaCRAST, metaCRISPR, MetAMOS, MetaPathways, MetaPhlAn, metaron, MetaVelvet, MetaVelvet-SL, MGmapper, Migrate-n, mikado, MinCED, Minimac3, Minimac4, minimap2, mira, miRDeep2, MISO (misopy), MITObim, MiXCR, MixMapper, MKTest, mlift, mlst, MMAP, MMSEQ, MMseqs2, MMTK, modeltest, MODIStsp-2.0.5, module, moments, mono, monocle3, mosdepth, mothur, MrBayes, mrsFAST, msld, MSMC, msprime, MSR-CA Genome Assembler, msstats, MSTMap, mugsy, MultiQC, multiz-tba, MUMandCo, MUMmer, muscle, MUSIC, Mutation-Simulator, muTect, MZmine, nag-compiler, nanofilt, NanoPlot, Nanopolish, nanovar, ncftp, NECAT, Nemo, Netbeans, NEURON, new_fugue, Nextflow, NextGenMap, nf-core/rnaseq, ngmlr, NGS_data_processing, NGSadmix, ngsDist, ngsF, ngsLD, NgsRelate, ngsTools, NGSUtils, NINJA, NLR-Annotator, NLR-Parser, Novoalign, NovoalignCS, nQuire, NRSA, NuDup, numactl, nvidia-docker, nvtop, Oases, OBITools, Octave, OMA, openmpi, OrthoFinder, orthologr, Orthomcl, pacbio, PacBioTestData, PAGIT, pal2nal, paleomix, PAML, panaroo, pandas, pandaseq, pandoc, PanPhlAn, Panseq, Parsnp, PASA, PASTEC, PAUP*, pb-assembly, pbalign, pbbam, pbh5tools, PBJelly, pblat, pbmm2, PBSuite, pbsv, PCAngsd, pcre, pcre2, PeakRanger, PeakSplitter, PEAR, PEER, PennCNV, peppro, PfamScan, pgap, PGDSpider, ph5tools, Phage_Finder, PHAST, phenopath, Phobius, PHRAPL, PHYLIP, PhyloCSF, phyloFlash, phylophlan, PhyloPhlAn2, phylophlan3, PhyML, Picard, pigz, Pilon, Pindel, piPipes, PIQ, PlasFlow, platanus, Platypus, plink, plink2, Plotly, Point Cloud Library, popbam, PopCOGenT, PopLDdecay, Porechop, poretools, portcullis, pplacer, PRANK, preseq, primalscheme, prinseq, prodigal, progenomics, progressiveCactus, PROJ, prokka, Proseq2, ProtExcluder, protolite, PSASS, psmc, psutil, purge_dups, pyani, PyCogent, pycoQC, pyfaidx, pyGenomeTracks, PyMC, pymol-open-source, pyopencl, pypy, pyRAD, Pyro4, PySnpTools, python, PyTorch, PyVCF, QIIME, QIIME2, QTCAT, Quake, Qualimap, QuantiSNP2, QUAST, quickmerge, QUMA, R, RACA, racon, RADIS, RadSex, RagTag, rapt, RAPTR-SV, RATT, RAxML, raxml-ng, Ray, rclone, Rcorrector, RDP Classifier, REAGO, REAPR, Red, ReferenceSeeker, regenie, Relate, RelocaTE2, Repbase, RepeatMasker, RepeatModeler, RERconverge, RFMix, RGAAT, rgdal, RGI, Rgtsvm, ripgrep, rJava, rMATS, RNAMMER, rnaQUAST, Rnightlights, Roary, Rockhopper, rphast, Rqtl, Rqtl2, RSEM, RSeQC, RStudio, rtfbs_db, ruby, sabre, SaguaroGW, salmon, Sambamba, samblaster, sample, SampleTracker, samplot, samtabix, Samtools, Satsuma, Satsuma2, SCALE, scanorama, scikit-learn, Scoary, scythe, seaborn, SEACR, SecretomeP, selscan, Sentieon, seqkit, SeqPrep, seqtk, Seurat, sf, sgrep, sgrep sorted_grep, SHAPEIT, SHAPEIT4, shasta, Shiny, shore, SHOREmap, shortBRED, SHRiMP, sickle, sift4g, SignalP, SimPhy, simuPOP, singularity, sinto, sistr_cmd, SKESA, skewer, SLiM, SLURM, smcpp, smoove, SMRT Analysis, SMRT LINK, snakemake, snap, SnapATAC, SNAPP, snATAC, SNeP, Sniffles, snippy, snp-sites, SnpEff, SNPgenie, SNPhylo, SNPsplit, SNVPhyl, SOAP2, SOAPdenovo, SOAPdenovo-Trans, SOAPdenovo2, SomaticSniper, sorted_grep, spaceranger, SPAdes, SPALN, SparCC, SPARTA, sqlite, SRA Toolkit, srst2, stacks, Stacks 2, stairway-plot, stampy, STAR, Starcode, statmodels, STITCH, STPGA, StrainPhlAn, strawberry, Strelka, stringMLST, StringTie, STRUCTURE, Structure_threader, subread, supernova, SURPI, sutta, SV-plaudit, SVDetect, SVseq2, svtools, svtyper, SWAMP, SweepFinder, SweepFinder2, sweepsims, tabix, Taiji, Tandem Repeats Finder (TRF), tardis, TargetP, TASSEL 3, TASSEL 4, TASSEL 5, tbl2asn, tcoffee, TensorFlow, TEToolkit, TEtranscripts, texlive, TFEA, tfTarget, ThermoRawFileParser, TMHMM, tmux, Tomahawk, TopHat, Torch, traitRate, Trans-Proteomic Pipeline (TPP), TransComb, TransDecoder, TRANSIT, transrate, TRAP, treeCl, treemix, Trim Galore!, trimal, trimmomatic, Trinity, Trinotate, tRNAscan-SE, UCSC Kent utilities, UMAP, UMI-tools, Unicycler, UniRep, unrar, usearch, Variant Effect Predictor, VarScan, VCF-kit, vcf2diploid, vcfCooker, vcflib, vcftools, vdjtools, Velvet, vep, VESPA, vg, ViennaRNA, VIP, viral-ngs, virmap, VirSorter, VirusDetect, VirusFinder 2, VizBin, vmatch, vsearch, vt, WASP, wgs-assembler (Celera), Wise2 (Genewise), Xander_assembler, yaha
Details for Alphafold (hide)
| Name: | Alphafold |
| Version: | |
| OS: | Linux |
| About: | This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. |
| Added: | 7/27/2021 5:47:44 PM |
| Updated: | |
| Link: | https://github.com/deepmind/alphafold |
| Notes: | Alphafold is currently installed on two GPU machines: cbsugpu02 and cbsugpu03. To use this software, you need to reserve time on one of these machines.
To run Alphafold:
1. Create directory where the program's output will be created
mkdir -p /workdir/$USER/alphafold_out
2. Copy the fasta file(s) with protein sequences to /workdir/$USER
3. Run the command
/programs/alphafold/alphafold_biohpc.sh [options]
where [options] are descriobe in https://github.com/deepmind/alphafold section Running AlphaFold, starting at step 4 (ignore the previous steps as these pertain to program installtion). For example,
/programs/alphafold/alphafold_biohpc.sh --fasta_paths=T1050.fasta --max_template_date=2020-05-14
NOTES:
do not use the prefix python3 docker/run_docker.py before options
to use pre-installed databases, omit option --data_dir
option --output_dir will be ignored if given; output will be written to subfolders of /workdir/$USER/alphafold_out which you created in step 1.
4. After a copleted run, the output will be in subfolders of /workdir/$USER/alphafold_out, owned by root. To claim ownership of your files, run docker1 claim.
5. If for any reason you need to terminate a run before it completes, you will have to stop and remove the underlying docker container as follows:
i) Run the command docker1 ps -a to find the ContainerID (this is the string in the leftmost column of the command's output in line corresponding to your alphafold container).
ii) Stop the container: docker1 stop ContainerID
iii) Remove the stopped container by command “docker1 rm ContainerID”
## If you have several sequences, split them into fasta files with one sequence per file. In the command line, join these fasta files by ",". You can run two jobs simultaneously, one on each GPU unit (There are two GPU units on the cbsugpu02 and cbsugpu03). For example: if you have 6 proteins, run these two commands simultaneously:
/programs/alphafold/alphafold_biohpc.sh --fasta_paths=prot1.fas,prot2.fas,prot3.fas --max_template_date=2021-08-20 --gpu_devices=0 >& log1 &
/programs/alphafold/alphafold_biohpc.sh --fasta_paths=prot4.fas,prot5.fas,prot6.fas --max_template_date=2021-08-20 --gpu_devices=1 >& log2 &
## if you have a large batch of sequences to process, you might want to split the CPU and GPU parts, and run on different BioHPC machine. (see https://pythonrepo.com/repo/Zuricho-ParallelFold )
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