CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform
about
Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision MedicineAdaptable probabilistic mapping of short reads using position specific scoring matrices.Long read alignment based on maximal exact match seedsIn the spotlight: BioinformaticsNext generation distributed computing for cancer researchMaxSSmap: a GPU program for mapping divergent short reads to genomes with the maximum scoring subsequenceSOAP3-dp: fast, accurate and sensitive GPU-based short read alignerMusket: a multistage k-mer spectrum-based error corrector for Illumina sequence data.G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods.An NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data.A comparative study of k-spectrum-based error correction methods for next-generation sequencing data analysis.GATB: Genome Assembly & Analysis Tool Box.Short Read Mapping: An Algorithmic Tour.A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units.Cas-OFFinder: a fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleasesHECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data.GPU-BSM: a GPU-based tool to map bisulfite-treated reads.ADaM: augmenting existing approximate fast matching algorithms with efficient and exact range queriesAll-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencingG-BLASTN: accelerating nucleotide alignment by graphics processors.CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions.MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC).Parallel and Scalable Short-Read Alignment on Multi-Core Clusters Using UPC+.Fine Mapping of Virescent Leaf Gene v-1 in Cucumber (Cucumis sativus L.).Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations.Kart: a divide-and-conquer algorithm for NGS read alignment.Graphics processing units in bioinformatics, computational biology and systems biology.A hybrid short read mapping accelerator.sBWT: memory efficient implementation of the hardware-acceleration-friendly Schindler transform for the fast biological sequence mapping.Novel Mutations of the Tetratricopeptide Repeat Domain 7A Gene and Phenotype/Genotype Comparison.Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges.Compound heterozygous mutations in TTC7A cause familial multiple intestinal atresias and severe combined immunodeficiency.Sequence alignment tools: one parallel pattern to rule them all?CUSHAW3: sensitive and accurate base-space and color-space short-read alignment with hybrid seeding.Challenges in the Setup of Large-scale Next-Generation Sequencing Analysis Workflows.
P2860
Q26776526-4D6988D9-B969-4FC5-A0DB-A5ED4019D531Q27496504-46635DD8-32D3-4480-BC8E-25136C59069DQ28274745-91376212-A72B-451B-83E4-60D78974129DQ28597875-B9B99C92-7B26-4F42-9341-2AC5E3E5C3D3Q28648325-40906695-E369-4D28-B7AC-C4FE640B384BQ28652427-483F3552-6417-4E8F-91AD-24B29DC32B3DQ28683599-E9564B43-0BDD-4F53-A26F-59B0B9827B86Q30579672-1D1F0A36-65DB-4A12-985B-0EDC918AE1F3Q30915634-B6440D39-CFCD-4C51-89FC-E5D47746C2DDQ31077769-1204D333-9856-4872-A570-49BE0DABAF0DQ31096337-78B5357E-56C4-4D38-95D7-BF91DF9F3879Q31117768-25436A64-0CA4-48E8-ADB2-ACEBEDE9D9E4Q31170927-961BC344-8516-4794-8C9F-18BC17B2917DQ33365416-DDDD8C2E-BF85-4D04-B493-F0958A632627Q33588261-942AC082-98C9-4926-82F2-C18AF900D307Q33593394-CE48FA97-E7D8-4FEB-8619-F500BDB8274FQ33621869-BC2A16CE-45AA-4760-B8FF-C0633DE66A8CQ33632450-D899D958-30BB-42A6-B18F-D45A09302CF1Q33948981-6E55EB47-427B-4A37-9B0D-F362C5692164Q34037715-320EEB68-978A-47A7-B04F-25FEA10AB8D0Q34400046-9DD776C1-05CC-4438-9AEE-49C165A7033EQ34655129-0A8F02E1-EB0D-4603-B0DC-B676857627E2Q35581043-37D877A4-DA22-43F9-A1BD-6F776E9BD04DQ35885532-8DDBE22F-8196-44EE-8A49-4876761C36FDQ37377172-028148A7-8BF9-4AF9-8B96-8AAC5CFB1F9FQ38343011-0C37E1A3-5A38-4EAA-8F23-892A221F7E10Q38853371-89300152-FC87-4C59-B1F3-F8A1D54F98CDQ38893459-BEB19A5F-CBC3-4D11-8FC5-988ADC43BEEAQ39461363-0A735955-EA7D-4158-8536-DF3CFF118BE8Q39605058-9BE8D7B6-4D6A-469C-B1B9-41DD511FCE26Q41314031-E38AF520-2723-4694-B05B-2303ED793A73Q41597356-62169474-81B7-450D-877B-6A6B1E220407Q41656937-0A7943EC-9613-4ECE-BA58-A75F9787C82CQ41838701-44516C7A-D328-41E5-B94E-E02D13FB1F55Q41886291-3315CB69-F89F-4B7A-8CD7-B34A7EEC968AQ45981891-6DC218A2-6FB8-467C-8F39-02A3F5DCF728
P2860
CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform
description
2012 nî lūn-bûn
@nan
2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@ast
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@en
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@nl
type
label
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@ast
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@en
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@nl
prefLabel
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@ast
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@en
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@nl
P2093
P3181
P356
P1433
P1476
CUSHAW: a CUDA compatible shor ...... the Burrows-Wheeler transform
@en
P2093
Bertil Schmidt
Douglas L Maskell
Yongchao Liu
P304
P3181
P356
10.1093/BIOINFORMATICS/BTS276
P407
P577
2012-07-15T00:00:00Z