Ntino Krampis

Associate Professor in Biological Sciences & Director of Bioinformatics and Computational Genomics Laboratory (BCGL) @CUNY @Hunter_College @WeillCornell

[Ntino Krampis @bioitx]

#Multiomix: a #cloud-based platform to infer #cancer genomic and epigenomic events associated with #geneexpression modulation

#bioinformatics #genomics @OUPBioinfo

https://t.co/gz6ToIiBYZ

[INB / ELIXIR-ES @INB_Official]

"Ready-to-use public #infrastructure for global #SARSCoV2 monitoring" read here https://t.co/JV82IkUFss

The latest paper from the #COVID19 Galaxy initiative, with contributions from @jordirambla @babi2305 from @CRGenomica #ViralBeaconProject

▶️ https://t.co/pXkyB7f9J7

[Ntino Krampis @bioitx]

SWnet: a #deeplearning model for #drugresponse prediction from #cancer genomic signatures and compound chemical structures

#bioinformatics #genomics @BMCBioinfo

https://t.co/touFW2E9qz

[Ntino Krampis @bioitx]

@bat_biomes @RGGSatAMNH Congratulations, Melissa!!

[Ntino Krampis @bioitx]

#MachineLearning for Causal Inference in Biological #Networks: Perspectives of This Challenge

#bioinformatics #biology @FrontBioinf

https://t.co/BLLytYduCq

[Ntino Krampis @bioitx]

GeneCloudOmics: A Data Analytic #Cloud Platform for #Highthroughput Gene Expression Analysis and #Visualization

#bioinformatics #genomics #RNASeq @FrontBioinf

https://t.co/T8iUxppHVV

[Ntino Krampis @bioitx]

#CoolBox: a flexible toolkit for visual analysis of #genomics data

#bioinformatics #visualization @BMCBioinfo

https://t.co/4IpOHmNH4X

[Ntino Krampis @bioitx]

Identification of #prostatecancer specific #methylation #biomarkers from a multi-#cancer analysis

#bioinformatics #genomis @BMCBioinfo

https://t.co/e3vK1lOV6T

[Ntino Krampis @bioitx]

Comparative analysis of #machinelearning -based approaches for identifying therapeutic peptides targeting #SARSCoV2

#Covid19 #bioinformatics @BriefingBioinfo

https://t.co/Rt3ut9PRzf

[Ntino Krampis @bioitx]

#Bioinformatics #mentorship in a resource-limited setting

#education #training #genomics @BriefingBioinfo

https://t.co/mwAVw9CnDA

[Ntino Krampis @bioitx]

Grand Challenges in #Bioinformatics Data #Visualization

https://t.co/F2TJULorZN

[Ntino Krampis @bioitx]

#Bioinformatics and #machinelearning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

#genomics #ontology #pathway @BriefingBioinfo

https://t.co/UGY5Oyw6RC

[Ntino Krampis @bioitx]

#BIONDA: a free database for a fast information on published #biomarkers

https://t.co/JWXg9GtuyR

[Ntino Krampis @bioitx]

Omics Notebook: Robust, reproducible, and flexible automated #multiomics exploratory analysis and reporting

#bioinformatics #Genomics #opensource

https://t.co/spZbD71iBM

[BOSC @OBF_BOSC]

#BOSC2021 key dates -- mark your calendar! 🗓🍐

[NIH Office of Data Science Strategy @NIHDataScience]

Want to use your data science and coding skills to tackle health disparities? Pitch a project by 4/26 to a #codeathon we’re hosting with @HowardU @HowardRcmi. https://t.co/CQ8e9tEaJC

We'll also have mentors from @black_in_ai and @MD4SG during the June event!

#NIHData

[NIH Office of Data Science Strategy @NIHDataScience]

Registration now open for our May Data Sharing and Reuse Seminar! Join us May 14 at 12 EDT and hear from Dr. Deanne Taylor on "Integrating @NIH_CommonFund Program Datasets for Feature Selection and #MachineLearning."
https://t.co/MqpimKU7gy

#NIHdata

[Galaxy Project @galaxyproject]

Galaxy Resources for Researchers webinar, originally scheduled for tomorrow, has been postponed by one week to April 21. https://t.co/OKbZDHhRsq #UseGalaxy @tnabtaf apologizes for the late notice. :-(

[RSG-Norway @RSGNorway]

Join us next week for #NordicCompBio Talk, "Building a bioinformatics platform: Lessons learned from immuneML" presented by @LonnekeScheffer and @milenapavl (@UniOslo)

Register at: https://t.co/xPoCzjCCQr

#Bioinformatics #ComputationalBiology #ComputerScience #Immunology

[Ntino Krampis @bioitx]

Great introductory book on #deeplearning for #lifesciences @OReillyMedia

#bioinformatics #genomics #machinelearning #Microscopy