about
Genome analysis reveals interplay between 5'UTR introns and nuclear mRNA export for secretory and mitochondrial genesQ&A: epistasisAbsence of evidence for MHC-dependent mate selection within HapMap populationsNext-generation sequencing to generate interactome datasetsA proteome-scale map of the human interactome networkA protein domain-based interactome network for C. elegans early embryogenesis.An empirical framework for binary interactome mappingThe tandem inversion duplication in Salmonella enterica: selection drives unstable precursors to final mutation typesHigh-quality binary protein interaction map of the yeast interactome networkMetabolite profiling of blood from individuals undergoing planned myocardial infarction reveals early markers of myocardial injuryPredicting co-complexed protein pairs using genomic and proteomic data integrationMotifs, themes and thematic maps of an integrated Saccharomyces cerevisiae interaction networkA critical assessment of Mus musculus gene function prediction using integrated genomic evidence.Global mapping of the yeast genetic interaction network.The genome-wide localization of Rsc9, a component of the RSC chromatin-remodeling complex, changes in response to stress.The genetic landscape of a cellIntrons in UTRs: why we should stop ignoring themFinding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitationIdentification of neuronal RNA targets of TDP-43-containing ribonucleoprotein complexesPrioritizing causal disease genes using unbiased genomic featuresWidespread macromolecular interaction perturbations in human genetic disordersAn inter-species protein-protein interaction network across vast evolutionary distanceA map of the interactome network of the metazoan C. elegansQuantitative phenotyping via deep barcode sequencing.Novel cardiovascular gene functions revealed via systematic phenotype prediction in zebrafishBringing out the best features of expression data.GoFish finds genes with combinations of Gene Ontology attributes.SELPHI: correlation-based identification of kinase-associated networks from global phospho-proteomics data sets.Using high-throughput screening data to discriminate compounds with single-target effects from those with side effects.Chemical substructures that enrich for biological activityInterpreting metabolomic profiles using unbiased pathway models.Next generation software for functional trend analysis.A genome-wide gene function prediction resource for Drosophila melanogaster.Assessing experimentally derived interactions in a small world.Identifying pathogenicity of human variants via paralog-based yeast complementation.Numerous conserved and divergent microRNAs expressed by herpes simplex viruses 1 and 2.Genome-wide functional analysis of human 5' untranslated region introns.FuncBase: a resource for quantitative gene function annotation.Systems biology and the analysis of genetic variation.Genomewide identification of Sko1 target promoters reveals a regulatory network that operates in response to osmotic stress in Saccharomyces cerevisiae
P50
Q21092427-552B3395-52DD-4DA7-9327-689FBF39CCF8Q21146762-09D2A3F9-D575-4B03-849D-4B218E4A32AAQ21563316-FB1EB426-A44C-40E8-978C-B942E70E26EBQ24300269-41C37B32-2C6C-4C6F-B24F-7FAF50B8A011Q24307146-5A816E0F-957E-48BD-9B0D-12CD1EF489A4Q24322661-9FDFB1FB-3455-4E4A-BCA9-588CCB213E55Q24322723-3F0B0208-0B3B-49B9-B443-91B70FEA693DQ24616733-FD5CA752-B2BC-47BF-B8FE-6AF7E9A13071Q24651397-91710193-4FB5-4323-9B8C-FC5DAD08F73DQ24657261-264628A6-6F57-4A44-BF46-AFF78FFB44D8Q24804004-55538929-DC85-4C39-ACBF-9FFB8BE5872BQ24812747-60BA6BF8-030E-41C3-AB6D-284ABA148875Q27499387-ABC728C4-FA8D-4D63-AF70-710E94033157Q27934987-18628827-ADAA-4CC5-983D-ADF74BF1BE02Q27935491-C6D49938-C979-4492-9DE0-85F1B79390B4Q28131628-F407EA50-9943-4F9A-9CBD-D587DBD3C1CAQ28278199-9B53B786-828B-48C9-967E-DC4816CF2934Q28286620-B1E0DDBB-3CF8-4124-8709-B3E9DD14AE6EQ28297716-6C779ACA-0744-4AC4-810A-00A917F09D50Q28652887-758F4D60-31D6-4F0B-B283-36D40F3075CEQ28771729-E09B2008-1BD5-4A2D-933A-6C6DBACA010FQ28834024-DA7746CD-2234-418C-9743-C4925EE0EA21Q29547482-DE508C6A-FC92-4D8C-9902-6B4E65405CBBQ30482301-DF1CBA6A-0FBD-47B3-804B-B2DAE073A9E3Q30559749-E0DD7942-E7CD-4DD3-A09C-0DD0B1DA691FQ30664827-86A93310-3D1E-47B7-B309-759EB3B4C713Q30725033-3D8550C2-17CB-4E27-BAEE-ED066D657A49Q30945430-77638B5C-6972-4633-A48F-286DB4327345Q31049464-BCC92DC0-651B-4F71-9341-2BE70A3C1465Q33368550-C642C58E-63DA-4AD6-B016-15D4CF49A92EQ33535872-A6779F88-1D49-48AC-BC7F-CC4E08213291Q33567100-8B4C6AD6-E739-4790-B30A-B4D919587976Q33658615-4AC537C3-6944-47A6-935E-97D3A623E3CFQ33716309-9018A099-500F-4B62-AFA1-760DBADD6DF0Q33783781-8A8F0A5E-1B07-4626-84F8-C85F2008BB8DQ33826615-AB624EBA-2CB1-4629-AD5D-5F28C4214BD0Q33829781-6C1D1A7C-E04D-41E1-B8B0-6CD5A5F051AEQ33950505-78C62638-CA95-4E2B-BFDC-AEFD1693CCD4Q33976813-115773EE-62C3-4CC9-A4CD-BA9AEEFE67CFQ33995626-D0E7C6FB-B1C7-4B0E-BE94-3F5E3B0C047D
P50
description
biofysicus
@nl
hulumtues
@sq
researcher
@en
հետազոտող
@hy
name
Frederick P Roth
@es
Frederick P Roth
@nl
Frederick P. Roth
@en
type
label
Frederick P Roth
@es
Frederick P Roth
@nl
Frederick P. Roth
@en
altLabel
Frederick Roth
@en
Fritz Roth
@en
prefLabel
Frederick P Roth
@es
Frederick P Roth
@nl
Frederick P. Roth
@en
P106
P1153
7103020414
P21
P2456
P31
P496
0000-0002-6628-649X