?? Bioinformatics teams vs. reality: The struggle of multi-omics integration! ???? Every dataset is like a new Agent Smith—throwing heterogeneous file formats, missing metadata, and batch effects your way. If you've ever tried integrating multi-omics data, you know the feeling! ?? But fear not, Neo bioinformaticians! Here are some battle-tested tips to dodge those errors: ? Standardize file formats: Convert datasets into standardized formats (e.g., FASTQ, VCF, MAF) early in the pipeline. ? Enforce metadata consistency: Create templates and validation checks to ensure metadata completeness across datasets. ? Mitigate batch effects: Use normalization techniques like Combat or Harmony to correct systematic biases. ? Automate quality control: Implement scripts to flag inconsistencies before they become integration nightmares. ? Use scalable platforms: Cloud-based solutions (like Basepair ??) streamline data processing and make integration smoother. What’s your go-to strategy for tackling multi-omics chaos? #Bioinformatics #ngs #Genomics #sequencing
Basepair Inc
软件开发
New York City,NY 5,428 位关注者
Combining easy NGS analysis & visualization for bench scientists w/ efficient scaling & deployment for bioinformaticians
关于我们
Basepair is a next generation bioinformatics company. Through a combination of intuitive interfaces and modern architecture we are reimagining what a commercial platform can deliver to R&D organizations. We're on a mission to make genomic data analysis & visualization more accessible to a broader range of scientists so that the promise of precision medicine can become a reality. One of the biggest challenges preventing this now arguably lies not with how the data gets generated and processed, but who is able to perform the analysis and understand what the resulting data means. Limiting this work to a select few, whether through choice or more often because of technology restrictions, especially for routine analyses, leads to reduced efficiency in R&D teams, longer times to market for assay manufacturers and increased turnaround times in clinical settings. Unlike other more traditional alternatives, our philosophy is not to ask bioinformaticians to change the way they work by having to build workflows on our platform. Instead, once they are built and ready for sharing or production settings, Basepair can significantly improve and accelerate both scaling & deployment to colleagues, collaborators and customers wherever they?happen to be in the world. To do this in a way that is adapted to the dynamics of the market today, we believe a bioinformatics platform needs to: 1) Leverage the compute and storage resources in a third party cloud account without the requirement of installing inside an organization's vpc 2) Facilitate the bundling of analysis with the sale of a kit or assay through easy white labeling and tokens/coupons 3) Support ever increasing sample volumes and application areas through an extensible architecture that scales to millions of records, enables complete sample provenance and reduces cloud costs Introducing Basepair…bioinformatics reinvented.
- 网站
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https://www.basepairtech.com
Basepair Inc的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- New York City,NY
- 类型
- 私人持股
- 创立
- 2017
- 领域
- Genomics、B2B SaaS、White Labeling、Bioinformatics、Life Sciences、Analysis & Visualization、Next Generation Sequencing / NGS、AWS Partner和Library Prep Kit Enablement
地点
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主要
415 Madison Ave
FL 4
US,NY,New York City,10017
Basepair Inc员工
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Ankur Richhariya
Founding Partner @ Nester Labs | Design Thinking & Product Development
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Gary Harton
Experienced Biotech Executive with a Passion for Innovating in Women’s Health: Leveraging Expertise to Drive Market Expansion and Technological…
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Yash Agrawal
Team Lead | Fullstack | AWS Solutions architect | Platforms team | Ex- SAFE, Perfios, Hashedin
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Mohd Akram
SDET || Tester || Automation in Testing || Python ||AWS || Django
动态
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When data integration feels like forcing a square peg into a round hole... ?? Bioinformatics often means working with datasets that don’t quite align—like genomic and proteomic data, which speak entirely different "languages." ?????? Whether you're aligning DNA sequences with protein expression data or trying to find meaningful relationships across datasets, the struggle is real! What are your biggest challenges when working with biological datasets? #Bioinformatics #ngs #Genomics #sequencing
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?? ?? Happy Bioinformatician’s Day!??? ?? Today was chosen by AB3C in honor of?Margaret Dayhoff, a pioneer in the field who used her experience in computing to create innovative methods for analyzing biological data in the 1940s. Today, we celebrate the unsung heroes of modern science—the bioinformaticians!??? The wizards who turn raw biological data into groundbreaking discoveries, all while battling: ?? Gigantic datasets that crash their computers at the worst possible time. ? ?? The eternal struggle of “Why won’t this script run?!” (Spoiler: It’s an extra comma.) ? ?? Explaining their work to others: “So, you analyze…?DNA spreadsheets?” But let’s be real—without bioinformatics, precision medicine, genomics, and drug discovery would be stuck in the Stone Age (or at least in very slow spreadsheets). Bioinformaticians help us decode life itself, one algorithm at a time! So, to all bioinformaticians out there: May your scripts run smoothly, your pipelines never break, and your coffee supply never runs out ???. ?? Tag a bioinformatician and show them some love today! ?? — what’s the most?bioinformatics-y?thing you've done lately?
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?? Bioinformatics pipeline deployment: Science meets survival mode. Between regulatory compliance, massive datasets, and hybrid IT environments, deploying bioinformatics pipelines can feel like wrangling velociraptors. IT and bioinformatics teams must navigate complex infrastructure, ensure data security, and manage overwhelming data volumes—all while keeping pipelines running smoothly. We make bioinformatics simpler by providing a secure, scalable, and user-friendly cloud-based solution. No more fighting infrastructure—just fast, reproducible results that keep your research moving forward. ?? If deploying pipelines has ever felt like managing Jurassic Park, you’re not alone! What’s the biggest challenge your team faces? #Bioinformatics #NGS #CloudComputing #DataAnalysis #Basepair #sequencing
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Women in Science vs. The Status Quo Just like Fiona, women in science aren’t waiting for a fairy tale—they’re writing it. ?????? From the lab to the field, they’re kicking stereotypes to the curb and solving tomorrow’s problems TODAY. Celebrate their victories, and support policies that dismantle these barriers year-round. Amplify their voices, and let’s keep forging a future where every girl knows #STEM needs HER. #WomenInScience #IWD2025
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Single-cell data analysis: It changes you. If you've ever worked with large-scale sequencing data, this probably feels a little too real. What starts as an exciting mission to build the most comprehensive dataset quickly turns into a battle against spiraling storage costs and the ever-growing flood of terabytes. We believe you shouldn’t have to choose between keeping your data and keeping your budget intact. Our platform helps streamline analysis, optimize storage, and make your sequencing pipeline more efficient—so you don’t have to "archive" (a.k.a. delete and regret) your hard-earned data. How are you managing your ever-expanding datasets? #Genomics #SingleCell #Bioinformatics #NGS #DataStorage #CloudComputing
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???? The eternal struggle of biotech IT teams... which button would you press? ?? Managing bioinformatics workflows in a highly regulated environment often feels like this: ?? Strict security policies block internet access, making it impossible to install or update critical tools. ?? Manually maintaining thousands of dependencies becomes an overwhelming, never-ending task. At Basepair, we believe you shouldn’t have to choose between security and efficiency. Our cloud-based platform ensures compliance while streamlining bioinformatics analysis—no headaches required. How does your team handle this challenge? #Bioinformatics #ngs #Genomics #sequencing
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?? Wetlab Wednesday continues!?Tired of juggling GitHub repos and bioinformatics pipelines? Say hello to seamless integration! With Basepair, you can now connect your private GitHub repositories in seconds and run custom pipelines—no coding or complex setup required. Here's why you'll love it: 1. Instant Integration: Link your GitHub account with two clicks and pull private repos directly into Basepair. 2. Run Pipelines Effortlessly: Execute your team's bioinformatics workflows without managing servers or dependencies. 3. Centralized Collaboration: Keep your data, pipelines, and results in one place. Share and iterate with your lab or bioinformatics team in real-time. Stop wasting time on manual setups. Let Basepair handle the tech, so you can focus on discoveries! ?? Try it free today: https://lnkd.in/gXRX8PfA #Bioinformatics #NGS #Genomics #Github #GEO #Sequencing
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?? Reproducibility in bioinformatics: A dream or a dependency nightmare? ?? Anyone who has ever tried to rerun an analysis months later—or on a different machine—knows this struggle all too well. A simple script turns into a massive dependency mess, requiring pip, Conda, and a manual install marathon when working on an HPC without internet access. This is why containerization (Docker, Singularity, etc.) is a lifesaver for bioinformatics workflows. It ensures that your analyses run anywhere, without last-minute debugging or broken dependencies. At Basepair, we take care of this headache so you can focus on the science. Have you ever been caught in dependency hell? #Bioinformatics #ngs #Genomics #sequencing
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Exciting Partnership Announcement!??? We’re thrilled to announce our partnership with TrendBio Pty Ltd, a leader in cloud-based NGS data analysis! This collaboration strengthens our commitment to providing researchers in Australia and New Zealand with seamless, efficient, and scalable bioinformatics solutions. With Basepair’s intuitive platform, researchers can easily analyze sequencing data, gain deeper insights, and accelerate discoveries—without the need for complex coding or infrastructure. Together, we’re making advanced genomics more accessible and actionable. Stay tuned for more updates on how this partnership will benefit the scientific community! Read the full Press Release here: https://lnkd.in/d95RWedG ?#Partnership #Bioinformatics #Genomics #NGS