| scholarly article | Q13442814 |
| P2093 | author name string | Kouros Owzar | |
| Pankaj Agarwal | |||
| P2860 | cites work | Bioconductor: open software development for computational biology and bioinformatics | Q21194861 |
| Gene ontology: tool for the unification of biology | Q23781406 | ||
| MrBayes 3: Bayesian phylogenetic inference under mixed models | Q26778438 | ||
| CloudMan as a platform for tool, data, and analysis distribution | Q27496492 | ||
| Fast gapped-read alignment with Bowtie 2 | Q27860699 | ||
| The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data | Q27860742 | ||
| The Sequence Alignment/Map format and SAMtools | Q27860966 | ||
| Bio2RDF: Towards a mashup to build bioinformatics knowledge systems | Q27921271 | ||
| GPU computing for systems biology | Q37704836 | ||
| NCI Thesaurus: a semantic model integrating cancer-related clinical and molecular information | Q38406992 | ||
| SEAL: a distributed short read mapping and duplicate removal tool | Q42046296 | ||
| BlueSNP: R package for highly scalable genome-wide association studies using Hadoop clusters | Q45770499 | ||
| Simulation of P systems with active membranes on CUDA. | Q48238004 | ||
| Parallel tandem: a program for parallel processing of tandem mass spectra using PVM or MPI and X!Tandem | Q48603399 | ||
| ProteoCloud: a full-featured open source proteomics cloud computing pipeline. | Q49140248 | ||
| The National Cancer Institute’s Thésaurus and Ontology | Q61963597 | ||
| ClustalW-MPI: ClustalW analysis using distributed and parallel computing | Q73796419 | ||
| The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models | Q28212902 | ||
| CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform | Q28266352 | ||
| Galaxy CloudMan: delivering cloud compute clusters | Q28302570 | ||
| Error-tolerant identification of peptides in sequence databases by peptide sequence tags | Q28306769 | ||
| TopFed: TCGA tailored federated query processing and linking to LOD | Q28648128 | ||
| SOAP3-dp: fast, accurate and sensitive GPU-based short read aligner | Q28683599 | ||
| Exposing the cancer genome atlas as a SPARQL endpoint | Q28741373 | ||
| BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications | Q28743122 | ||
| A framework for variation discovery and genotyping using next-generation DNA sequencing data | Q29547262 | ||
| Galaxy: a platform for interactive large-scale genome analysis | Q29547494 | ||
| The variant call format and VCFtools | Q29614172 | ||
| SeqPig: simple and scalable scripting for large sequencing data sets in Hadoop | Q30682452 | ||
| Using quality scores and longer reads improves accuracy of Solexa read mapping | Q33321695 | ||
| permGPU: Using graphics processing units in RNA microarray association studies | Q33606273 | ||
| ABC-SysBio--approximate Bayesian computation in Python with GPU support | Q33622196 | ||
| GPU-BSM: a GPU-based tool to map bisulfite-treated reads | Q33632450 | ||
| An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics | Q33787308 | ||
| Data standards for clinical research data collection forms: current status and challenges | Q33870807 | ||
| Fast parallel tandem mass spectral library searching using GPU hardware acceleration | Q33890377 | ||
| A Statistical Framework for eQTL Mapping Using RNA‐seq Data | Q33991900 | ||
| SNPpy--database management for SNP data from genome wide association studies | Q34062197 | ||
| Hadoop-BAM: directly manipulating next generation sequencing data in the cloud | Q34149696 | ||
| Cloud-scale RNA-sequencing differential expression analysis with Myrna | Q34156140 | ||
| Eoulsan: a cloud computing-based framework facilitating high throughput sequencing analyses. | Q34227780 | ||
| GPUmotif: an ultra-fast and energy-efficient motif analysis program using graphics processing units | Q34290935 | ||
| Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). | Q34399891 | ||
| Hydra: a scalable proteomic search engine which utilizes the Hadoop distributed computing framework | Q34502547 | ||
| Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package. | Q34530068 | ||
| A de novo next generation genomic sequence assembler based on string graph and MapReduce cloud computing framework | Q34530333 | ||
| DistMap: a toolkit for distributed short read mapping on a Hadoop cluster | Q34979578 | ||
| Tempest: GPU-CPU computing for high-throughput database spectral matching | Q36095681 | ||
| Genotyping in the Cloud with Crossbow | Q36301574 | ||
| CloudBurst: highly sensitive read mapping with MapReduce | Q37193342 | ||
| Instrumenting the health care enterprise for discovery research in the genomic era. | Q37363172 | ||
| P433 | issue | Suppl 7 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | distributed computing | Q180634 |
| P304 | page(s) | 97-109 | |
| P577 | publication date | 2014-01-01 | |
| P13046 | publication type of scholarly work | review article | Q7318358 |
| P1433 | published in | Cancer Informatics | Q5031410 |
| P1476 | title | Next generation distributed computing for cancer research | |
| P478 | volume | 13 |
| Q31138564 | Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases | cites work | P2860 |
Search more.