about
Hsp70-Hsp40 chaperone complex functions in controlling polarized growth by repressing Hsf1-driven heat stress-associated transcriptionComplex control of GABA(A) receptor subunit mRNA expression: variation, covariation, and genetic regulationUnlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant ImprovementCysteine protease and cystatin expression and activity during soybean nodule development and senescenceUsing galaxy to perform large-scale interactive data analysesThe missing graphical user interface for genomicsInteraction between DMRT1 function and genetic background modulates signaling and pluripotency to control tumor susceptibility in the fetal germ lineTranscriptome characterisation of the ant Formica exsecta with new insights into the evolution of desaturase genes in social hymenopteraGenome Sequence and Transcriptome Analyses of Chrysochromulina tobin: Metabolic Tools for Enhanced Algal Fitness in the Prominent Order Prymnesiales (Haptophyceae)Sex-Biased Transcriptome of Schistosoma mansoni: Host-Parasite Interaction, Genetic Determinants and Epigenetic Regulators Are Associated with Sexual DifferentiationWhole Genome Re-Sequencing Identifies a Quantitative Trait Locus Repressing Carbon Reserve Accumulation during Optimal Growth in Chlamydomonas reinhardtiiEvolutionary relatedness does not predict competition and co-occurrence in natural or experimental communities of green algaeSmall RNA and transcriptome deep sequencing proffers insight into floral gene regulation in Rosa cultivarsQuality control and preprocessing of metagenomic datasetsCross-Neutralising Nanobodies Bind to a Conserved Pocket in the Hemagglutinin Stem Region Identified Using Yeast Display and Deep Mutational Scanning.Targeted parallel sequencing of large genetically-defined genomic regions for identifying mutations in Arabidopsis.CloudMap: a cloud-based pipeline for analysis of mutant genome sequences.MiRAuto: an automated user-friendly microRNA prediction tool utilizing plant small RNA sequencing data.Ectomycorrhizal fungi contribute to soil organic matter cycling in sub-boreal forests.Large-scale fungal diversity assessment in the Andean Yungas forests reveals strong community turnover among forest types along an altitudinal gradient.Network analysis of ChIP-Seq data reveals key genes in prostate cancer.Masking as an effective quality control method for next-generation sequencing data analysis.TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotationIntegration of EGA secure data access into GalaxyFunctional network analysis of genes differentially expressed during xylogenesis in soc1ful woody Arabidopsis plants.The highly buffered Arabidopsis immune signaling network conceals the functions of its components.Early Emergence of CD19-Negative Human Antibody-Secreting Cells at the Plasmablast to Plasma Cell Transition.OccuPeak: ChIP-Seq peak calling based on internal background modellingImproving the DNA specificity and applicability of base editing through protein engineering and protein delivery.Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis.Identification of Genes Associated with Lemon Floral Transition and Flower Development during Floral Inductive Water Deficits: A Hypothetical Model.Comparative genomics shows that viral integrations are abundant and express piRNAs in the arboviral vectors Aedes aegypti and Aedes albopictusThe RNA targetome of Staphylococcus aureus non-coding RNA RsaA: impact on cell surface properties and defense mechanisms.Deficient Vitamin E Uptake During Development Impairs Neural Tube Closure in Mice Lacking Lipoprotein Receptor SR-BI.A novel cell line derived from pleomorphic adenoma expresses MMP2, MMP9, TIMP1, TIMP2, and shows numeric chromosomal anomalies.DNA damage in plant herbarium tissueTransformations for the compression of FASTQ quality scores of next-generation sequencing data.Deep sequencing reveals predominant expression of miR-21 amongst the small non-coding RNAs in retinal microvascular endothelial cells.NGS QC Toolkit: a toolkit for quality control of next generation sequencing data.Identification and genetic analysis of cancer cells with PCR-activated cell sorting
P2860
Q21563355-A4F2F2BF-8EA4-4DD0-96B6-B4691968D911Q27305122-4ADB0BC2-8CEC-4CDE-8C9E-AE212200E87CQ28087166-E63CC5F5-D82D-42F5-8312-94CB6721F1B6Q28251738-776E3CC9-7E03-4A3F-A0EB-4E83CC4E066EQ28277397-7F60A66A-CC61-486C-BCAA-EAFADE76378BQ28292064-E960FB99-31A9-4B46-B22D-E933AE2BA9BCQ28508532-D3D7B994-4438-4E96-8DB6-4F2E50809893Q28534643-52B20FA9-F9AF-4136-AF88-82784AD6D1F0Q28548363-6B3F6202-6CF5-44F2-AD59-CBDB39BE7332Q28554367-95A09F53-64F2-47BB-A867-CC9BC1045A1CQ28603333-A934F5EE-FBC4-42FF-A355-B2CA212C4A3CQ28652578-0C8E60EE-D43A-412E-A242-38D97B0DAF16Q28710256-0DC121C8-2A94-4490-A4A5-78F3EFA18C0FQ29615829-5AC674CF-2EE9-406A-9B4E-22DE2805BFF4Q30394097-CE0C5872-EB08-4288-AF9B-3D027C04976CQ30467733-33B45A5E-9FC2-4051-96C3-24B85FE372B7Q30528878-13EEB783-30D0-4F7D-9B72-E1FC052454D8Q30620317-54E8018B-1299-411C-BC7E-C8AF558FE662Q30686209-2233CBF8-B092-4374-8C7F-73926A4AFDC1Q30808068-7EAFCC11-01BB-4BC2-AA17-E48008DE250CQ30847259-EED35302-B41A-4BD2-AD7D-45B8EFBB7D52Q30877232-1F490DA0-75C3-424B-A99D-081F6CA441FAQ31035530-EA8FA0E5-A71F-40B0-A719-AAB55FA5DBFFQ31165454-E4B6CF66-3768-4B4C-B62A-29BF9410F3AFQ33362708-B501A910-32A4-43DA-95D6-F6C70AB8344FQ33637319-5D895E96-C8DA-430E-9A62-86640A61AC9EQ33762211-8E9FF1E3-5F78-4D01-B8C4-B46677B43491Q33768883-9EB88308-450B-4D72-B90C-4F9CA7BD8C70Q33786397-634EE9A6-8F92-4B42-A32C-ECD93F3B555CQ33789460-BF16FCE0-2582-429D-B70F-5117F0AC4C5DQ33790269-FB5E4761-8D6D-498F-A3AF-E745441C0B7FQ33872148-180DAD1A-984A-4CC2-9AB5-7931BD3776B8Q33878968-0EC63D91-6332-4408-891C-8C93D4736EADQ33899448-72E540BA-2352-4DE5-A060-74B470C3388AQ34066633-31786193-0361-498A-94F5-B340C8C9387EQ34097863-CE5A6910-870D-43D7-B065-41676F227D53Q34101651-2875B54B-C8E6-4CF3-86E5-83231B0A81D8Q34148754-13C9F3C5-C967-46A4-A2A7-E9AADF37DF13Q34152647-5E941939-F0C5-44B5-A4BE-403C3B6C6340Q34249645-75B8712B-75B7-4360-8E09-0A159E28C987
P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Manipulation of FASTQ data with Galaxy
@ast
Manipulation of FASTQ data with Galaxy
@en
Manipulation of FASTQ data with Galaxy
@nl
type
label
Manipulation of FASTQ data with Galaxy
@ast
Manipulation of FASTQ data with Galaxy
@en
Manipulation of FASTQ data with Galaxy
@nl
prefLabel
Manipulation of FASTQ data with Galaxy
@ast
Manipulation of FASTQ data with Galaxy
@en
Manipulation of FASTQ data with Galaxy
@nl
P2093
P2860
P3181
P356
P1433
P1476
Manipulation of FASTQ data with Galaxy
@en
P2093
Assaf Gordon
Gregory Von Kuster
James Taylor
Nathan Coraor
P2860
P304
P3181
P356
10.1093/BIOINFORMATICS/BTQ281
P407
P577
2010-07-15T00:00:00Z