#HTSeq - Twitter Hashtag

Umar Ahmad (@[email protected]) @babasaraky

over 3 years ago

5/ With the reads mapped, the next step is #quantification. This involves counting the number of #reads that map to each #gene or #transcript in the reference. Tools such as #featureCounts and #HTSeq are commonly used for this purpose.

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geneXplain GmbH @geneXplain

about 4 years ago

This video about RNA-seq read quantification will guide you on how to perform read quantification with the #geneXplain_platform https://t.co/qpT8Bx7LHr #RNASeq #FASTQ #FASTA #SAM #BAM #ReadQuantification #ReadCounts #sequencing #NextGenerationSequencing #NGS #featureCounts #htseq

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geneXplain GmbH @geneXplain

about 4 years ago

Learn about quality assessment of RNA-seq data with #geneXplain_platform https://t.co/4AE5CvLEOa #RNASeq #FASTQ #FASTA #SAM #BAM #QualityContro, #BaseQuality #sequencing #Sanger #Phred #NextGenerationSequencing #NGS #Illumina #Omics #htseq #bioinformatics #biotech #geneXplain

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Ensembl @ensembl

about 4 years ago

15/ If you are performing alignments using a program that requires a genome FASTA, such as #HTseq, TopHat or #HISAT then the best choice for most cases is the primary assembly.

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Javier Santoyo @jsantoyo

over 4 years ago

Analysing high-throughput sequencing data in Python with HTSeq 2.0. #HTseq #SequencingData #DataAnalysis #Python https://t.co/hIbcbYlT2X #Bioinformatics

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Manufacturing Consultant (Beyond Limits Kenya) @BROSSCOE

almost 5 years ago · Nakuru

Functional Genomics Talk #TopHat #Picard #GeneOntology #molecularbiology #Bioinformatics #HTseq

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Federico Giorgi @giorgilab

over 5 years ago

#RNASeq: what happens to multi-mapping reads? Whoah apparently #htseq and #featureCounts ignore them by default! #Salmon, #Sailfish and #Kallisto are the way, with the Expectation Maximization algorithm! @LabMutwil was right!!! https://t.co/MTfzHHG3KQ

giorgilab's tweet photo. #RNASeq: what happens to multi-mapping reads?
Whoah apparently #htseq and #featureCounts ignore them by default! #Salmon, #Sailfish and #Kallisto are the way, with the Expectation Maximization algorithm! @LabMutwil was right!!!
https://t.co/MTfzHHG3KQ https://t.co/YZxt5OmWDR

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