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BioHPC Cloud:
: User Guide

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BioHPC Cloud Software

There is 762 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, adephylo, Admixtools, Admixture, agrep, albacore, Alder, AlleleSeq, ALLMAPS, ALLPATHS-LG, AMOS, AMPHORA, amplicon.py, AMRFinder, analysis, ANGSD, Annovar, antiSMASH, apollo, arcs, Arlequin, aspera, assembly-stats, atac-seq-pipeline, athena_meta, ATLAS, Atlas-Link, ATLAS_GapFill, ATSAS, Augustus, AWS command line interface, axe, BactSNP, bam2fastx, bamtools, bamUtil, BarNone, Basset, BayeScan, Bayescenv, BBmap, BCFtools, bcl2fastq, BCP, Beagle, Beast2, bedops, BEDtools, bfc, bgc, bgen, bigQF, bigWig, bioawk, biobambam, Bioconductor, biom-format, BioPerl, BioPython, Birdsuite, Bismark, blasr, BLAST, blast2go, BLAT, BLUPF90, BMGE, bmtagger, Boost, Bowtie, Bowtie2, BPGA, Bracken, BRAKER, BRAT-NextGen, BreedingSchemeLanguage, breseq, brocc, BSseeker2, BUSCO, BWA, bwa-meth, cactus, CAFE, canu, CAP3, CarveMe, cBar, CBSU RNAseq, CCTpack, cd-hit, cdbfasta, CEGMA, CellRanger, cellranger-atac, cellranger-dna, centrifuge, centroFlye, CFM-ID, CFSAN SNP pipeline, CheckM, chimera, chromosomer, Circlator, Circos, Circuitscape, CITE-seq-Count, CLUMPP, clust, Clustal Omega, CLUSTALW, Cluster, cmake, CNVnator, compat, CONCOCT, Conda, copyNumberDiff, cortex_var, CRISPRCasFinder, CRISPResso, CrossMap, CRT, cuda, Cufflinks, cutadapt, 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, Drop-seq, dropEst, dropSeqPipe, dsk, Dsuite, dTOX, duphold, dynare, ea-utils, ecopcr, ecoPrimers, ectyper, EDGE, edirect, eems, EgaCryptor, EGAD, EIGENSOFT, EMBOSS, Empress, entropy, ephem, epic2, ermineJ, ete3, 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, fastsimcoal26, fastStructure, FastTree, FASTX, feh, FFmpeg, fineRADstructure, fineSTRUCTURE, FIt-SNE, flash, flash2, flexbar, Flexible Adapter Remover, Flye, FMAP, FragGeneScan, FragGeneScan, freebayes, FunGene Pipeline, G-PhoCS, GAEMR, Galaxy, GATK, gatk4, gatk4amplicon.py, Gblocks, GBRS, gcc, GCTA, GDAL, gdc-client, GEM library, GEMMA, 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, HapCompass, HAPCUT, HAPCUT2, hapflk, HaploMerger, Haplomerger2, HapSeq2, HarvestTools, hdf5, hh-suite, HiC-Pro, HiCExplorer, HISAT2, HMMER, Homer, HOTSPOT, HTSeq, htslib, HUMAnN2, hyperopt, HyPhy, iAssembler, IBDLD, IDBA-UD, IDP-denovo, idr, 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, KmerFinder, kraken, kSNP, kWIP, LACHESIS, lammps, LAST, lcMLkin, LDAK, leeHom, Lep-MAP3, lftp, 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, MAQ, MASH, mashtree, Mashtree, MaSuRCA, Mauve, MaxBin, McClintock, mccortex, mcl, MCscan, megahit, MeGAMerge, MEGAN, MELT, MEME Suite, MERLIN, MetaBAT, MetaCRAST, metaCRISPR, MetAMOS, MetaPathways, MetaPhlAn, MetaVelvet, MetaVelvet-SL, MGmapper, Migrate-n, mikado, MinCED, Minimac3, Minimac4, minimap2, mira, miRDeep2, MISO (misopy), MITObim, MiXCR, MixMapper, MKTest, mlst, MMAP, MMSEQ, MMseqs2, moments, mono, monocle3, mosdepth, mothur, MrBayes, mrsFAST, msld, MSMC, msprime, MSR-CA Genome Assembler, msstats, MSTMap, mugsy, MultiQC, multiz-tba, MUMmer, muscle, MUSIC, muTect, nag-compiler, nanofilt, Nanopolish, ncftp, Nemo, Netbeans, NEURON, new_fugue, Nextflow, NextGenMap, nf-core/rnaseq, NGS_data_processing, NGSadmix, ngsDist, ngsF, ngsLD, NgsRelate, ngsTools, NGSUtils, NINJA, NLR-Annotator, NLR-Parser, Novoalign, NovoalignCS, NRSA, nvidia-docker, Oases, OBITools, Octave, OMA, openmpi, OrthoFinder, Orthomcl, pacbio, PacBioTestData, PAGIT, paleomix, PAML, pandas, pandaseq, PanPhlAn, Panseq, Parsnp, PASA, PASTEC, PAUP*, pb-assembly, pbalign, pbbam, pbh5tools, PBJelly, pbmm2, PBSuite, 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, Platypus, plink, plink2, Plotly, popbam, PopCOGenT, Porechop, portcullis, pplacer, PRANK, prinseq, prodigal, progenomics, progressiveCactus, PROJ, prokka, Proseq2, PSASS, psutil, pyani, PyCogent, pycoQC, pyfaidx, pyGenomeTracks, PyMC, pyopencl, pypy, pyRAD, Pyro4, PySnpTools, python, PyTorch, PyVCF, QIIME, QIIME2, QTCAT, Quake, Qualimap, QuantiSNP2, QUAST, QUMA, R, RACA, racon, RADIS, RadSex, RAPTR-SV, RAxML, raxml-ng, Ray, rclone, Rcorrector, RDP Classifier, REAGO, REAPR, ReferenceSeeker, Relate, RelocaTE2, RepeatMasker, RepeatModeler, RERconverge, RFMix, rgdal, RGI, Rgtsvm, ripgrep, rJava, RNAMMER, rnaQUAST, Rnightlights, Roary, Rqtl, Rqtl2, RSEM, RSeQC, RStudio, rtfbs_db, ruby, sabre, SaguaroGW, salmon, Sambamba, samblaster, sample, SampleTracker, samtabix, Samtools, Satsuma, Satsuma2, scanorama, scikit-learn, Scoary, scythe, seaborn, SecretomeP, selscan, Sentieon, SeqPrep, seqtk, Seurat, sf, sgrep, sgrep sorted_grep, SHAPEIT, SHAPEIT4, shasta, Shiny, shore, SHOREmap, shortBRED, SHRiMP, sickle, SignalP, SimPhy, simuPOP, singularity, sinto, sistr_cmd, SKESA, skewer, SLiM, SLURM, smcpp, smoove, SMRT Analysis, SMRT LINK, snakemake, snap, SnapATAC, SNAPP, snATAC, SNeP, 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, supernova, SURPI, sutta, SV-plaudit, SVDetect, SVseq2, svtools, svtyper, SWAMP, SweepFinder, sweepsims, tabix, Taiji, Tandem Repeats Finder (TRF), tardis, TargetP, TASSEL 3, TASSEL 4, TASSEL 5, tbl2asn, tcoffee, TensorFlow, TEToolkit, texlive, tfTarget, ThermoRawFileParser, TMHMM, tmux, 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 dTOX (hide)

Name:dTOX
Version:20190928
OS:Linux
About:Motif-based discriminative method to predict transcription factor binding from PRO-seq, ATAC-seq, or DNase-I-seq data
Added:1/10/2020 11:59:33 AM
Updated:
Link:https://github.com/Danko-Lab/dTOX
Notes:

Run the program:


bash /programs/dTOX/run_dTOX.bsh [OPTIONS]

To get help info, leave out the OPTIONS:


bash /programs/dTOX/run_dTOX.bsh

# USAGE: bash run_dTOX.bsh plus_strand_bw minus_strand_bw seq.type hg19 out_prefix gpu_cores cpu_cores
#
# genome_id       -- Currently hg19 and mm10 are available by default.
# Sequeue Type    -- ATAC-seq, DNASE-1-seq or PRO-seq 
# plus_strand.bw  -- Seqence data (plus strand).  Read counts (not normalized) formatted as a bigWig file. 
# minus_strand.bw -- Seqence data (minus strand). Read counts (not normalized) formatted as a bigWig file. 
# out_prefix      -- The prefix of the output file. 
# gpu_cores       -- [optional, default=1] indicating how many GPU cores can be used
# cpu_cores       -- [optional, default=16] indicating how many CPU cores can be used. 

Pre-trained models that can be used to predict TF binding status across the genome for mammals (and example TFBS data) are available here:


/programs/dTOX/models 
/programs/dTOX/TFBS

Note:
The example command from https://github.com/Danko-Lab/dTOX takes 8 to 20 hours to execute on NVIDA GPU (K80, P100 or other types) using Rgtsvm package. Due to very long computational time, we don't suggest to run peak calling on CPU nodes, even in parallel mode. We recommend that you use one of our GPU machines for this software (or your own GPU machine, if you have one).


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