Basepair

02/17/2021

is the big thing these days, but there are way more scientists who want to work with this data type than scientists who actually know how. Single cell is challenging, but Basepair makes it more accessible. Check out our webinar to see how you can get started: https://buff.ly/3aaLmS3

02/11/2021

This short article on ChIP-seq analysis is one of our most popular! We briefly walk you through each step of the analysis, from QC to alignment and peak calling:
https://buff.ly/3d4cUKn

01/20/2021

Basepair customers work on cutting-edge research every day. Yes, even on the weekends! They're searching for treatments for cancer, blood disorders, infertility, and many other conditions. Take a look at our collaboration with RMA of New York last summer: https://buff.ly/3991IZy

01/12/2021

Did you know that Basepair has a knowledge center full of great NGS analysis content? If you're a bench scientist who's still pretty new to bioinformatics, these articles and webinars are for you. RNA-seq, ChIP-seq, ATAC-seq. Check it out:
https://buff.ly/3978Mpm

06/23/2020

Interested in single cell RNA-seq analysis but have limited experience? Register for our analysis webinar this Thursday at 12pm Eastern and level up your skills. 200+ researchers have already registered for this popular topic.

https://us02web.zoom.us/webinar/register/7715929420590/WN_b5lI2o7GTPmtvKI9mL61AQ

02/20/2020

Missed our webinar? Watch the recording to learn more about:

-Panel, whole exome, or whole genome — what type of sequencing should you do?
- Variant calling pipeline overview: Read trimming with fastp. Alignment with BWA. Deduplication with Picard tools. Variant calling with GATK and FreeBayes. Annotation with SnpEff, dbSNP, and gnomAD
- Variant calling tool comparison: Freebayes, GATK HaplotypeCaller, GATK Mutect2

https://zoom.us/rec/share/2vV4JJXCtV5LU5HMsmWGQPR-Tov4eaa81ykeqaVfzk1nwdyl-q5Qto9nAZfwFpSz?startTime=1581526768000

Join us for an interactive 1-hour webinar on variant calling. You will learn about: TIPS ON DESIGNING YOUR EXPERIMENT We will walk you through some of the more important questions to consider when planning your experiment. Should you go with WGS, WES, or a panel? What depth of coverage should you ch...

01/29/2020

Have you seen our guide on RNA-seq analysis? We take you through the steps of quality control and trimming, read alignment, expression quantification, and differential expression.

The major steps in analyzing RNA-seq data include: quality control and trimming, read alignment, expression quantification, differential expression.

01/24/2020

Trimming RNA-seq data — a fine dance of removing low quality reads without negatively impacting downstream analysis due to overly aggressive trimming thresholds. Check out one of our most popular blog posts on this topic, written by Basepair's very own Senior Bioinformatics Scientist Charlie Murphy.

Quality trimming decreases the overall number of reads, but increases to the total and proportion of uniquely mapped reads. Thus, you get more useful data for downstream analyses. Too aggressive quality trimming can negatively impact downstream analysis (in our example, estimation of gene expression...

09/16/2019

"I strongly believe a mindset change needs to happen, especially for individuals who could have never imagined that they could do these types of analyses themselves. In the past, they were told: 'Hey, these tasks are too complex, don’t try to analyze this yourself. You will make a mistake, you will mess it up. Let the bioinformatician do it for you.' We are now saying: 'No, you can do it yourself, and you will not mess it up.'" - Amit Sinha, Basepair CEO and founder, on how Basepair is changing the way researchers analyze NGS data.

Read the full interview, including what inspired Amit to start Basepair, here: http://bit.ly/interview-enlightenbio

This month’s Company Spotlight provides a closer look at Basepair, a developer and supplier of a suite of automated NGS analysis solutions for research, clinical, and pharma teams. The company’s mi…

07/10/2019

FBI approves use of NGS for forensics by Thermo Fisher Scientific High copy number mtDNA offers excellent sensitivity for both sample quality and quantity. https://buff.ly/2LcQYzQ