755 Works

SuscPeatCover.tif

Ser Huay Janice Teresa Lee

DTI.pdf

Francis Chun Kit Wong

Sarawak TSS data.zip

Patrick Martin

CTD data.zip

Patrick Martin

tobi 20180208 salt 30uM CrLS EPYC.tif

Oliver Martin Mueller-Cajar

Tobi 20170316 EPYC and CrLS titrations Pellet 50 mM NaCl023.tif

Oliver Martin Mueller-Cajar

Tobi 20170316 EPYC and CrLS titrations Pellet 50 mM NaCl024.tif

Oliver Martin Mueller-Cajar

tobi 20180319 CrS vs OsS 10uM EPYC.tif

Oliver Martin Mueller-Cajar

tobi 20180907 puri 3rE and 5rE for Fig S1a.tif

Oliver Martin Mueller-Cajar

tobi 20180404 EPYC-GFP tests crop.tif

Oliver Martin Mueller-Cajar

tobi 20180404 6301L with salt and survival samples.tif

Oliver Martin Mueller-Cajar

tobi 20180827 4rE vs CrLS valency purple .tif

Oliver Martin Mueller-Cajar

tobi 20180910 3rE valency green.tif

Oliver Martin Mueller-Cajar

Little power big influence: Leveraging small-scale actions to diversity participation in Higher Ed

Suzy J Styles
Styles SJ (2019) 'Little power big influence Leveraging small-scale actions to diversity participation in Higher Ed (Sharing Session), Women@NTU, 21 Aug 2019, Nanyang Technological University, Singapore

Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice

Hui Xing Lau
This dataset contains the primary data for the project "Effectiveness of data auditing as a tool to reinforce good Research Data Management (RDM) practice". It includes surveys of PIs and researchers and use of a central data repository (SDS) by each laboratory.

Phylogenetic Tree-based Pipeline for Uncovering Mutational Patterns during Influenza Virus Evolution

Fransiskus Xaverius Ivan, Akhila Deshpande, Wei Lim Chun & Chee Keong Kwoh
Various computational and statistical approaches have been proposed to uncover the mutational patterns of rapidly evolving influenza viral genes. A problem that draws much attention is to identify pairs of sites that potentially co-mutate to contribute to the overall fitness of the virus. Unlike previous methods that extract the mutations from sequence alignments, here we endeavor a novel method that relies on identifying mutations in the phylogenetic trees that are reconstructed using resampled sequence data....

Excel file with DEGs for Lorenzini et al (Roca) RNA 2019

Francesc Xavier Roca Castella
DEGs and other gene expression data from RNA-seq data. 7 RNA-seq samples for K562 cells, PRPF40B knockout and rescue with WT or MDS mutant PRPF40B. Excel file with all the Differentially Expressed Genes (DEGs). Significant DEGs labeled 'Yes', others 'No'.

DASE(PRPF40B)_sorted.tab

Francesc Xavier Roca Castella

tilt_model_calculator_NoLengthControl.m

Manta Fabio

onc2017309x8.tab

Nandini Venkatesan, Jong Fu Wong, Kuan Pern Tan, Hwa Hwa Chung, Yin Hoe Yau, Egin Cukuroglu, Abdollah Allahverdi, Lars Nordenskiold, Jonathan Göke, Susana Geifman Shochat, Valerie Chun Ling Lin, M.S. Madhusudhan & I-Hsin Su
Source data for main figures in combined excel file

NCBI-Step2-CleaningStage1.py

Fransiskus Xaverius Ivan

GISAID-Step1-RawData2NCBIformat2GISAIDdata.ipynb

Fransiskus Xaverius Ivan

README-FIRST(MAIN-INSTRUCTION).txt

Fransiskus Xaverius Ivan

NCBI-Step3-CleaningStage2.py

Fransiskus Xaverius Ivan

COMB-Step2-REFINEMYDATA.ipynb

Fransiskus Xaverius Ivan

Registration Year

  • 2019
    755

Resource Types

  • Dataset
    755