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--- | ||
title: "Preprint describing our new tool: sincei" | ||
date: 2024-07-29 | ||
draft: false | ||
language: en | ||
featured_image: ../assets/images/posts/sincei.png | ||
summary: We just released a new preprint describing our analysis toolkit "sincei" | ||
author: vivek | ||
authorimage: ../assets/images/global/author.png | ||
categories: News | ||
tags: News | ||
--- | ||
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We are excited to [release our new preprint](https://www.biorxiv.org/content/10.1101/2024.07.27.605424v1) describing our Single-cell informatics (sincei) toolkit. | ||
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Due to their unique exploration challenges, the data from emerging singlecell epigenomics protocols can be difficult to work with. We present sincei, a toolkit for exploring sc(epi)genomics data directly from BAM files, using bash one-liners (or via a python API). Read [the documentation here](https://sincei.readthedocs.io/), or look at [our GitHub repo](https://github.com/bhardwaj-lab/sincei) for details on how to use sincei for your project. | ||
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Going beyond standard scRNAseq or scATACseq workflows, sincei provides flexible signal aggregation, QC and dimensionality reduction methods that can work with several single-cell epigenomic assays. Have a look at our preprint for details. | ||
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Kudos to [Soufiane Mourragui](https://www.linkedin.com/in/soufianemourragui/) for his help in building sincei. |
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title: "New lab members" | ||
date: 2024-08-15 | ||
draft: false | ||
language: en | ||
featured_image: ../assets/images/global/uu_kryutbuilding.jpeg | ||
summary: Welcome to Faik, Maria and Fernando, the new members of our lab. | ||
author: vivek | ||
authorimage: ../assets/images/global/author.png | ||
categories: News | ||
tags: News | ||
--- | ||
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Over the past months, our lab has grown to 3 new members: | ||
- Faik Usul and Maria Karaboeva: Master student from UU Bioinformatics (BiBC) program, who will work with us on single-cell transcriptomic data analysis. | ||
- Fernando Sancho Gomez: New PhD student, who joins us after finishing his master's in Bioinformatics from KU Leuven. Fernando will work on multiple projects in line with the lab's core research theme, including developing new computational methods for single-cell epigenomics and multi-omics analysis. | ||
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Welcome, Faik, Maria and Fernando! |
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