Have you thought of applying Deep learning and machine learning in predicting drugs for CoVID-19. Here is one paper describing the same.

Dear participants,

We have an update on our schedule for our Monday session. The time for this session is changed to 7PM IST from 6PM IST.

Please note that the time is updated only for this session. The rest of sessions will occur at the same time, 6PM IST.

We apologize for any inconvenience it may have caused.

Thank you,
Team Dollar Education

#LetsGrowTogether

💥 Bulk and Single Cell RNA Sequencing Analysis💥
Interested in learning how to analyse Bulk and Single Cell RNA Seq data? Here, we offer an online workshop on this topic with expert speakers and live demo sessions. Check out www.dollareducation.org

👉🏻ENROLL FAST

🗓 Date: 11- 20 April, 2022
⏰ Time: 6:00 pm IST

✍️ Registration Link
https://www.dollareducation.org

💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Topics:
▫️Linux and R programming
▫️Reference based and de novo assembly
▫️Quantification of RNA transcripts
▫️Introduction to scRNAseq
▫️Integrating multiple datasets in scRNAseq analysis
▫️Differential gene expression
▫️Gene enrichment analysis


ℹ️Contact and More information:
https://t.me/+qCL0SBRZSLZmMDE1

Since, we are coming with Bulk and Single Cell RNA Sequencing, I would request everyone to go join us there.

We are providing general Reading material for the same.
Get to know the RNA Sequencing and it's Analysis on https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863231/

Want to know what lncRNA can do ?
Check out this book chapter: https://link.springer.com/chapter/10.1007/978-981-16-5993-5_3

Rapid progress in the development of next-generation sequencing (NGS) technologies in recent years has provided many valuable insights into complex biological systems, ranging from cancer genomics to diverse microbial communities. NGS-based technologies for genomics, transcriptomics, and epigenomics are now increasingly focused on the characterization of individual cells.
Learn more in the topic on: https://www.nature.com/articles/s12276-018-0071-8

In the few years since its initial application, massively parallel cDNA sequencing, or RNA-seq, has allowed many advances in the characterization and quantification of transcriptomes. Recently, several developments in RNA-seq methods have provided an even more complete characterization of RNA transcripts. These developments include improvements in transcription start site mapping, strand-specific measurements, gene fusion detection, small RNA characterization and detection of alternative splicing events. Ongoing developments promise further advances in the application of RNA-seq, particularly direct RNA sequencing and approaches that allow RNA quantification from very small amounts of cellular materials.

Read Full Review on: https://www.nature.com/articles/nrg2934

📄Single-cell RNA sequencing technologies and applications: A brief overview

📘 Journal: Clinical and Translational Medicine (I.F.=11.492)
🗓Publish year: 29 March 2022

🖇 https://onlinelibrary.wiley.com/doi/10.1002/ctm2.694

📄Do you that we can able to identify biomarkers involved in the disease by RNA Sequencing. Learn how RNA Sequencing is used for COVID-19 patients and identifies neutrophil activation biomarkers as a promising diagnostic platform for infections.

📘 Journal: PLoS One (I.F.= 3.24)
🗓Publish year: January 26, 2022

🖇 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261679

Refer this paper for RNA-seq data analysis: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728800/

We are announcing a free online seminar series on Research and Career Journey in Bioinformatics.
This series will highlight journey of a Bioinformatician every month and for the month of April, we have Laura Harris, Ph.D. to share her journey.

Register Yourself on: https://www.dollareducation.org/series
#letsgrowtogether
#DollarSeries
#bioinformatics
#FreeEvent
#LearnAndGrow

To get a better idea of the de novo assembly of RNA Sequencing, Read this paper from Nature Protocols.
Link for the paper: https://www.nature.com/articles/nprot.2013.084

Single cells are powerful and here is the proof

📑 In Silico Studies of Phytoconstituents from Piper longum and Ocimum sanctum as ACE2 and TMRSS2 Inhibitors: Strategies to Combat COVID-19
📘Journal: Applied Biochemistry and Biotechnology (I.F.=2.539)
🗓Publish year: 2022
📎 https://link.springer.com/article/10.1007/s12010-022-03827-6

Eid Mubarak to Everyone 🌙💫