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Open Source Biology & Genetics Interest Group

Open source tools and preprints for in vitro biology, genetics, bioinformatics, crispr, and other biotech applications.

 Posted in Hiring, Research

POLYMER POSTDOC

 August 14, 2021

Save job. Not interested. Report job. Chemistry Postdoctoral Jobs … jobs at BioMed X Institute, EMBL – European Molecular Biology Laboratory, …

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Control-FREEC CookHLA corr.test COSMIC CP033719 CP2K CpG Cr2O3 cram cran CRIMS CRISPOR crispr CRISPRa CRISPRko CRLMM CROP-seq crRNA CRyPTIC CSI ctDNA cto Cutadapt CWL CXCR4 cygwin CYP2D6 Cytochrome CyTOF cytoscape CyVerse DADA2 DAPARS2 darkRP dba.plotProfile DBHI DBMR dbNSFP dCas9 dCas9-vp64 dCas9-VPR ddATP DdCBE-mediated ddCTP ddGTP ddH2O ddTTP DE-analysis DE-kupl decay DECIPHER deepTools DEG degradome-seq DEL Demovir DESC DESE2 DESeq deseq2 DGE dgelist diagnostic DiffBind directx Diva Django DLBCL DMR DMRs DMSO DNA DNA-seq DNAseq dnasp DoBISCUIT DOCK2 docker dplyr DRG DRIMseq DROP-seq DSB dsDNA dseq2 dsQTL dsRed dtu DuoClustering2018 EB Eclipse IDE EcoR1 EDTA EdU eGFP-Puro EggNOG egsea EGT2 eisa electrotransfection ELN EMBL EMBL-EBI EMBOSS ENA eNeuro enformer enhancedVolcano ENmix enrichGO enrichkegg enrichr ENSCAFG1 ensembl ENSEMBL ID ENSG entrezID EOF EpCAM EPN eQTL ER-lysosome ERA ers ERSSA ESBL-EC eureKARE eureKAWARDS ex-psu exceRpt ExPASy FACS FAIR FAP FAQs FAST5 FASTA 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monocle2 monocle3 monoclle3 montana Monterey mothur motIV Mpeg MPH mphil mpileup mps MQTT MRC MRD mRNA MRSA msa msc MSGFgui MSI MSigDB msk MSMC MTB mtDNA MTHFD1 multi-omic MULTI-seq MUMmer mummerplot MuTect MUTECT2 MXene MYC mydb MYO10 MySQL NA NAMESPACE NAR NBAMSeq nc1700sJORDAN ncbi NCC NCFamilyGenetic ncRNA NEB neofart netbenchmark NetCoMi netprioR NewStem next-gen Next.js NextDenovo nextflow Nextseq Nexus nf-core NFDI4Microbiota NfL NGG nginx NGS NGS-Lib-Fwd NHEJ NHS NIH NLS Node.js NovaSeq NovelStem NPC NPSR1 nr NTLA nu Nucleosome NUMTS NuProbe NVIDIA odseq OMA omic OMIM ONT oocyte openAPI OpenKIM OpenMP OpenWrt orf OTU OVCAR3 p53 pA PacBio PACR pact_00210 PAIRADISE pairwise2 PARPis PASS PATCH v2 pathfindR PathVisio pax3 pbs PCA PCR pd.hg.focus PDAC pData pdb PDBE pdInfoBuilder PedPhase pegRNAs PERMANOVA perTargetCoverage Pfam pgdx PGGB PGS phase_trio.sh phastConsElements phd pheatmap phenix Phoenix PHRED phyloseq Phylum PI3 picard PICS PIK3CA PIM Pindel platypus plink plotMA 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Videos

European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany (talks only) https://eurobioc2022.bioconductor.org/schedule/ 09:00 Keynote Dr. Björn Grüning: Developing interoperable frameworks for the scientific community 09:45 Flashtalks 10:30 Coffee break 11:00 Special session Birds-of-a-Feather, Three parallel sessions 12:00 Lunch 13:00 Special session Birds-of-a-Feather, Three parallel sessions 14:30 Coffee break 14:50 End of Day 3 Closing remarks
EuroBioC2022 Live Stream Day 3: morning
European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany (talks only) https://eurobioc2022.bioconductor.org/schedule/ 16:20 Short talk Short talk 19: DifferentialRegulation: a novel approach to identify differentially regulated genes. Simone Tiberi 16:30 Short talk Short talk 20: Analysis of transposable elements in R and Bioconductor with atena. Beatriz Calvo-Serra 16:40 Short talk Short talk 21: Inclusive instruction in cancer data science: Authoring and deployment with yes4cure. Alexandru Mahmoud
EuroBioC2022 Live Stream Day 2: afternoon
European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany (talks only) https://eurobioc2022.bioconductor.org/schedule/ 14:35 Keynote Dr. Michael Dorrity: Developmental robustness of zebrafish embryos at single-cell resolution
EuroBioC2022 Live Stream Day 2: noon
European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany (talks only) https://eurobioc2022.bioconductor.org/schedule/ 09:15 Keynote Dr. Judith Zaugg 10:00 Coffee break 10:10 Short talk Short talk 8: Smooth epigenomics data analysis and visualisation with Bioconductor (or: an ode to Rle). Pierre-Luc Germain 10:20 Short talk Short talk 9: MethQuant: A package providing entropy-based measures for quantifying patterns of DNA methylation heterogeneity in (single-cell) bisulfite sequencing data. Emanuel Sonder 10:30 Short talk Short talk 10: DeeDee - Evaluating, Visualizing, and Integrating Results from Differential Expression Analysis Workflows. Federico Marini 10:40 Short talk Short talk 11: Analysing multiplexed assays of variant effects with mutscan. Michael Stadler 10:50 Short talk Short talk 12: Joint modeling of rare variant genetic effects using deep learning and data-driven burden scores. Brian Clarke 11:00 Coffee break 11:30 Short talk Short talk 13: spillR: Causal Modelling of Spillover in Mass Cytometry. Marco Guazzini 11:40 Short talk Short talk 14: Multi-omic integration with cosmosR and ocEAn to study cross-talks between signalling and metabolism in diseases. Aurelien Dugourd 11:50 Short talk Short talk 15: A new principled approach for single-cell proteomics data analysis. Laurent Gatto 12:00 Short talk Short talk 16: Analyzing hydrogen-deuterium exchange mass-spectrometry data in R. Oliver Crook 12:10 Short talk Short talk 17: CTexploreR, a package to explore CT genes. Axelle Loriot
EuroBioC2022 Live Stream Day 2: morning
European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany (talks only) https://eurobioc2022.bioconductor.org/schedule/ 14:10 Keynote Dr. Julio Saez-Rodriguez: Combining multi-omics data and biological knowledge to extract disease mechanisms
EuroBioC2022 Live Stream Day 1: afternoon
European Bioconductor Conference 2022 Live Stream from Heidelberg, Germany QUESTIONS: www.slido.com #1680070 (talks only) https://eurobioc2022.bioconductor.org/schedule/ 09:15 Introduction Welcome, Bioconductor overview, and Code of Conduct 09:40 Keynote Dr. Shila Ghazanfar: Integrative analyses for spatial genomics data 10:25 Break 10:30 Short talk Short talk 1: Co-clustering of Spatially Resolved Transcriptomic Data. Andrea Sottosanti 10:40 Short talk Short talk 2: Simplified, strand aware and comprehensive splicing analysis using IntEREst (1.22.0). Ali Oghabian 10:50 Short talk Short talk 3: Differential embedding analysis of multi-condition single-cell datasets. Constantin Ahlmann-Eltze 11:00 Coffee break 11:30 Short talk Short talk 4: Clinical microbiome data science with MultiAssayExperiment. Tuomas Borman 11:40 Short talk Short talk 5: µSTASIS - Assessment of human microbiota stability across longitudinal samples. Pedro Sánchez-Sánchez 11:50 Short talk Short talk 6: OmicSHIELD: privacy-protected federated omic data analysis in multi-center studies with Bioconductor through DataSHIELD. Juan Ramon Gonzalez 12:00 Short talk Short talk 7: DepInfeR - A Bioconductor package for Inferring tumor-specific cancer dependencies through integrating ex-vivo drug response assays and drug-protein profiling. Junyan Lu
EuroBioC2022 Live Stream Day 1: morning
Visualization and analysis of highly multiplexed imaging data - Nils Eling
Visualization Analysis IMC Data - March 28, 2022
Spatial Transcriptomics Technologies and Analysis Tools - Dario Righelli Analysing Spatially Resolved Transcriptomics Data with Bioconductor - Helena L. Crowell
Spatial Transcriptomics - January 31, 2022
Rにおけるバイオ画像解析入門: Introduction to Bioimaging Analysis in R 久米 慧嗣 Satoshi Kume (大阪電気通信大学 Osaka Electro-Communication University, 日本 Japan) 4:00 PM - 5:00 PM JST (Japan Standard Time) on Thursday, Nov. 4th, 2021 JAPANESE WORKSHOP このワークショップでは、BioconductorパッケージであるEBImageを使って、Rでの画像処理・画像解析の基本的な方法を扱う。次に、BioImageDbsパッケージを用いて、ExperimentHubからの画像データの取得を行う。さらに、rMiWパッケージが提供する、Deep learningモデルの１つであるU-NETモデルを用いて、教師有り画像セグメンテーション（領域分割）を学び。このワークショップは、Orchestra環境にて実施する。 This workshop covers basic methods of the image processing and image analysis in R using the Bioconductor package “EBImage” and the Orchestra platform. In addition, the image dataset is obtained from ExperimentHub using the “BioImageDbs” package. Using this dataset, we perform a supervised image segmentation using the U-NET model, one of deep learning models, provided by the rMiW package. Moderator: 露崎 弘毅 Koki Tsuyuzaki (理化学研究所 RIKEN, 日本 Japan)
Rにおけるバイオ画像解析入門: Introduction to Bioimaging Analysis in R
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