Marc Robinson-Rechavi<p>You can still apply: Postdoc job opportunity! We're looking for early career researcher in evolutionary genomics to study the relation between intra-specific gene expression variability, polymorphism, and macro-evolutionary rates. We have all of the data in 3 fishes and amphioxus, just waiting for your expertise and enthusiasm!<br><a href="https://tinyurl.com/3aewk286" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/3aewk286</span><span class="invisible"></span></a> <br><a href="https://ecoevo.social/tags/EvoDevo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EvoDevo</span></a> <a href="https://ecoevo.social/tags/MolecularEvolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MolecularEvolution</span></a> <a href="https://ecoevo.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://ecoevo.social/tags/PopulationGenomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PopulationGenomics</span></a> <a href="https://ecoevo.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://ecoevo.social/tags/PostDoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PostDoc</span></a></p>
photog.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A place for your photos and banter. Photog first is our motto
Please refer to the site rules before posting.
Administered by:
Server stats:
245active users
photog.social: About · Profiles directory · Privacy policy
Mastodon: About · Get the app · Keyboard shortcuts · View source code · v4.4.2
#rnaseq
0 posts · 0 participants · 0 posts today
Marc Robinson-Rechavi<p>Postdoc job opportunity! We're looking for early career researcher in evolutionary genomics to study the relation between intra-specific gene expression variability, polymorphism, and macro-evolutionary rates. We have all of the data in 3 fishes and amphioxus, just waiting for your expertise and enthusiasm!<br><a href="https://tinyurl.com/3aewk286" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/3aewk286</span><span class="invisible"></span></a> <br><a href="https://ecoevo.social/tags/EvoDevo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EvoDevo</span></a> <a href="https://ecoevo.social/tags/MolecularEvolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MolecularEvolution</span></a> <a href="https://ecoevo.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://ecoevo.social/tags/PopulationGenomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PopulationGenomics</span></a> <a href="https://ecoevo.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://ecoevo.social/tags/PostDoc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PostDoc</span></a></p>
PLOS Biology<p>Expression quantitative trait locus (eQTL) mapping studies are limited by the need to study a large number of individuals. This study develops a method to scale up <a href="https://fediscience.org/tags/eQTL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eQTL</span></a> studies by performing single-nucleus <a href="https://fediscience.org/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> of <a href="https://fediscience.org/tags/Arabidopsis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Arabidopsis</span></a> pollen <span class="h-card" translate="no"><a href="https://fediscience.org/@PLOSBiology" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PLOSBiology</span></a></span> <a href="https://plos.io/4jPZOzD" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/4jPZOzD</span><span class="invisible"></span></a></p>
Marc Robinson-Rechavi<p>We obtained <a href="https://ecoevo.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> from tooth germs over the embryonic and postnatal period where the major events of morphogenesis occur, from bud, to cap, to bell stage until differentiation and enamel/dentin secretion, and obtained clusters of coexpressed genes per stage.</p>
Albert Cardona<p>"Whole-embryo Spatial Transcriptomics at Subcellular Resolution from Gastrulation to Organogenesis", by Wan et al. 2024<br><a href="https://www.biorxiv.org/content/10.1101/2024.08.27.609868v1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">24.08.27.609868v1</span></a></p><p><a href="https://mathstodon.xyz/tags/zebrafish" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>zebrafish</span></a> <a href="https://mathstodon.xyz/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://mathstodon.xyz/tags/transcriptomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>transcriptomics</span></a> <a href="https://mathstodon.xyz/tags/DevBio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevBio</span></a> <a href="https://mathstodon.xyz/tags/weMERFISH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>weMERFISH</span></a></p>
Bgee database<p>Bgee has a new look! We have officially switched to the new Bgee website. Check us out at <a href="https://www.bgee.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">bgee.org/</span><span class="invisible"></span></a> <span class="h-card" translate="no"><a href="https://mstdn.science/@SIB" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>SIB</span></a></span> <a href="https://genomic.social/tags/scRNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scRNAseq</span></a> <a href="https://genomic.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://genomic.social/tags/singlecell" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>singlecell</span></a> <a href="https://genomic.social/tags/GeneExpression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeneExpression</span></a> <a href="https://genomic.social/tags/bgee" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bgee</span></a> <a href="https://genomic.social/tags/biocuration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biocuration</span></a> <a href="https://genomic.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
Bgee database<p>We are proud to announce the release of Bgee 15.2 with the addition of thousands of single-cell 10X Genomics and bulk RNA-Seq libraries to allow for more meaningful gene expression comparisons across species. We also added the free text anatomical, developmental and cell type information provided by authors in addition to the standardized ontology terms. <a href="https://www.bgee.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">bgee.org/</span><span class="invisible"></span></a> <a href="https://genomic.social/tags/scRNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scRNAseq</span></a> <a href="https://genomic.social/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <span class="h-card" translate="no"><a href="https://mstdn.science/@SIB" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>SIB</span></a></span></p>
Daniel E. Weeks<p>STATGEN 2024 talk<br>Statistical Methods for Single-Cell RNA-Seq Analysis and Spatial Transcriptomics<br>Rafael Irizarry</p><p>tSNE and UMAP plots:<br>"They really aren't informative, but they are really pretty."</p><p>Negative control scRNAseq data set: the percent of zeros is very high, and contributes strongly to the first PCA. tSNE plot 'discovers' new cells.</p><p>Transformed to log2(1 + CPM): looks zero-inflated.</p><p>Raw counts: Poisson</p><p>1/</p><p><a href="https://fediscience.org/tags/Genetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Genetics</span></a> <a href="https://fediscience.org/tags/STATGEN2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>STATGEN2024</span></a> <a href="https://fediscience.org/tags/StatisticalGenetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatisticalGenetics</span></a> <a href="https://fediscience.org/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://fediscience.org/tags/Transcriptomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transcriptomics</span></a></p>
Thomas Sandmann<p>Today I learned how to store gene expression data in (multiple) parquet files, and query them as a single dataset from R with the {arrow}, {duckdb} or {sparklyr} packages. I am amazed by {duckdb}'s speed 🚀 - even on my laptop! Here's a blog post with what I learned: <a href="https://tomsing1.github.io/blog/posts/parquet/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tomsing1.github.io/blog/posts/</span><span class="invisible">parquet/</span></a> <a href="https://genomic.social/tags/TIL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TIL</span></a> <a href="https://genomic.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://genomic.social/tags/duckdb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>duckdb</span></a> <a href="https://genomic.social/tags/parquet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>parquet</span></a> <a href="https://genomic.social/tags/spark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spark</span></a> <a href="https://genomic.social/tags/compbio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compbio</span></a> <a href="https://genomic.social/tags/rnaseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rnaseq</span></a></p>
Hashtag ListsLong Hashtag List for the Life Sciences
Ken A Field @ Bucknell he|himIntro
esteban antonicelli<p>let's do a hashtags <a href="https://qoto.org/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a><br>I'm a biologist with a MSc in plant physiology and a PhD in plant biochemistry and molecular biology. My current interests are <a href="https://qoto.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://qoto.org/tags/synbio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>synbio</span></a> <a href="https://qoto.org/tags/genomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genomics</span></a> <a href="https://qoto.org/tags/sysbio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sysbio</span></a> <a href="https://qoto.org/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://qoto.org/tags/metabolomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metabolomics</span></a> <a href="https://qoto.org/tags/plants" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plants</span></a> <a href="https://qoto.org/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a> <a href="https://qoto.org/tags/DL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DL</span></a> <a href="https://qoto.org/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://qoto.org/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://qoto.org/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://qoto.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://qoto.org/tags/julia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>julia</span></a> <a href="https://qoto.org/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a> <a href="https://qoto.org/tags/aiethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aiethics</span></a></p>
Live feeds
Mastodon is the best way to keep up with what's happening.
Follow anyone across the fediverse and see it all in chronological order. No algorithms, ads, or clickbait in sight.
LoginDrag & drop to upload