about
Targeted next-generation sequencing of head and neck squamous cell carcinoma identifies novel genetic alterations in HPV+ and HPV- tumorsMspA nanopore as a single-molecule tool: From sequencing to SPRNTAssembly, Assessment, and Availability of De novo Generated Eukaryotic TranscriptomesManaging, analysing, and integrating big data in medical bioinformatics: open problems and future perspectivesAn introduction to the analysis of shotgun metagenomic dataA Graph-Centric Approach for Metagenome-Guided Peptide and Protein Identification in MetaproteomicsComplete chloroplast and ribosomal sequences for 30 accessions elucidate evolution of Oryza AA genome speciesDe novo transcriptome profiling uncovers a drastic downregulation of photosynthesis upon nitrogen deprivation in the nonmodel green alga Botryosphaerella sudeticusOptimal assembly for high throughput shotgun sequencingEpigraph: A Vaccine Design Tool Applied to an HIV Therapeutic Vaccine and a Pan-Filovirus VaccineApplications of species accumulation curves in large-scale biological data analysisNavigating Microbiological Food Safety in the Era of Whole-Genome SequencingSPA: a short peptide assembler for metagenomic data.Beginner's guide to comparative bacterial genome analysis using next-generation sequence data.Computational solutions for omics data.Optimizing de novo assembly of short-read RNA-seq data for phylogenomics.Data compression for sequencing dataGenome alignment with graph data structures: a comparisonDe novo assembly of bacterial transcriptomes from RNA-seq data.Characterization of CRISPR RNA transcription by exploiting stranded metatranscriptomic data.MICADo - Looking for Mutations in Targeted PacBio Cancer Data: An Alignment-Free MethodMapReduce for accurate error correction of next-generation sequencing data.ExSPAnder: a universal repeat resolver for DNA fragment assembly.GATB: Genome Assembly & Analysis Tool Box.Why assembling plant genome sequences is so challengingRay Meta: scalable de novo metagenome assembly and profiling.Interpreting Microbial Biosynthesis in the Genomic Age: Biological and Practical Considerations.Assembling metagenomes, one community at a time.Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions.GABenchToB: a genome assembly benchmark tuned on bacteria and benchtop sequencers.Cutoffs and k-mers: implications from a transcriptome study in allopolyploid plants.Contact genomics: scaffolding and phasing (meta)genomes using chromosome 3D physical signatures.Complete De Novo Assembly of Monoclonal Antibody Sequences.Integration of mate pair sequences to improve shotgun assemblies of flow-sorted chromosome arms of hexaploid wheat.Next generation sequencing reads comparison with an alignment-free distance.Disk-based k-mer counting on a PC.A compact, in vivo screen of all 6-mers reveals drivers of tissue-specific expression and guides synthetic regulatory element design.Comparing memory-efficient genome assemblers on stand-alone and cloud infrastructuresAssembling single-cell genomes and mini-metagenomes from chimeric MDA productsDIME: a novel framework for de novo metagenomic sequence assembly
P2860
Q21183964-7513C610-5BE3-49E0-926E-1F5A3980AFCAQ26752452-6A67C52E-3BF6-499D-AC4F-D83DC63E78BAQ26770359-B6BE2BFE-59D5-4FE8-8CDA-EFE986658CBEQ27024732-5368A806-B9FB-40D4-BF54-0D518A67AA5BQ27028042-D8D9201D-EF0B-4C2C-B02B-1C9EDF5609BAQ28554789-BECB63B2-27BF-43E7-BEB2-8D118D23EC89Q28608391-4612F522-1F04-44BB-95C2-DA527478104BQ28658593-D9B5D5C4-0E27-4943-B2BF-3E8073968EF6Q28679390-7A25E851-55A9-41E7-8EA3-C3C092500142Q28822525-D0B7ACAA-F291-4AA7-A10B-F8BDA20E4D14Q28829817-F96F1BC9-652A-42C9-8162-5AEFF4F70DFCQ30248315-B1D244B5-3D8A-4735-841F-EF3AD80F8C4DQ30593282-552C5149-BDCE-47C2-B330-0C2A56754B50Q30614820-455F58EC-D98B-42BB-A1AA-25DFF7D12363Q30617899-6042F080-9F01-4654-89BB-7D41FC27E5D2Q30625869-00A958D8-5FCF-42BA-AD9A-859F1C8A6C10Q30697591-8C246637-18F2-40F8-9295-CD1D8842B753Q30796510-554AEED0-4FC9-4BE2-B7C3-536EF6A91086Q30884266-2D95C6A9-F845-4D45-8C9B-0DF4FC4E7E91Q31096987-BBC30AC1-33DA-41EC-895B-7B97E2150FA7Q31150879-A74EC343-5D9F-4915-A669-5009E2E72907Q31162441-EF4D910F-864F-4B17-98D5-74E164085BDFQ31165936-ADFC02FD-7683-4F53-A10F-BA86330A8831Q31170927-73AF39DC-ABD5-46C5-B5D0-6D79916B6AF6Q33565173-A1D22BF0-1481-42DC-AFF6-7CA49EFE8C97Q33751206-3E8A7E07-EA8E-42F3-A4EA-AAB610987C4DQ33833366-121BC13D-D908-47AA-A129-A7ABB00EC4F6Q33886672-8BA2D1AB-6484-42EE-A5BF-689A07850538Q33980339-2C9A193B-28A8-4199-8838-66F649E31E0DQ34149898-DCC3D0DC-630B-41D5-984E-171A8DFD13ECQ34195296-BBA79B55-57BC-4AED-BE6D-FB435B3D01D8Q34474748-2ED7491F-F573-42AF-93CE-12B058050733Q34538543-BEA10F24-D0A7-409E-8A51-1E530C7B228DQ34655366-774B69F2-DBA9-40BC-B654-B3974A8213D5Q34695927-93F70DF4-A35B-4185-BFC2-BD10DF00BE68Q34725489-4D7095AC-4DCD-4131-BDFA-35C5A15A9B24Q34835612-4CB0EE94-00EF-460B-88D1-EB28D6E2F5ABQ35005678-DFB055E7-D898-4FA9-BDA4-4188FF73B8F7Q35007840-E9FDE91A-6E57-48C6-A9D0-A6B93F493E8BQ35077639-822DC177-2357-463C-BE38-523458F4B6DD
P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
How to apply de Bruijn graphs to genome assembly
@ast
How to apply de Bruijn graphs to genome assembly
@en
type
label
How to apply de Bruijn graphs to genome assembly
@ast
How to apply de Bruijn graphs to genome assembly
@en
prefLabel
How to apply de Bruijn graphs to genome assembly
@ast
How to apply de Bruijn graphs to genome assembly
@en
P2093
P2860
P3181
P356
P1433
P1476
How to apply de Bruijn graphs to genome assembly
@en
P2093
Glenn Tesler
Pavel A Pevzner
Phillip E C Compeau
P2860
P2888
P304
P3181
P356
10.1038/NBT.2023
P577
2011-11-08T00:00:00Z
P5875
P6179
1050504482