Which aligment tool is best for eukaryotic transcriptome?
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6.3 years ago
sudha ▴ 20

Dear one, Which alignment tool is best to align eukaryotic (homo sapiens) transcriptome? Please comment your answer with reason why! Thanks in advance!

p.s. My sequences are paired end & human samples! My intention is to do differential gene expression study!

p.s. I have seen that there are many alignment tools are used and given in publications, so confused a lot! I am new to bioinformatics!

RNA-Seq alignment sequencing • 2.0k views
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STAR is a good starter.

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6.3 years ago

Alignment of RNASeq reads on a genomic reference

  • STAR (link) -> super-fast, gold standard for many people, awesome 2-pass mode (see manual)
  • HISAT2 (link) -> same as Tophat2, much, much faster, good precision
  • BWA (link) -> handles well also supplementary alignments (2048 bitwise flag) to then retrieve chimeras

all handle spliced alignment

Alignment of RNASeq reads on a transcriptomic reference

  • RSEM (link) -> accurate quantification of gene and isoform expression (probably your best choice, imho, for this)
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personally don't agree with the "all handle spliced alignment" statement , they all can handle split or gapped alignment but that's a totally different thing than spliced alignment (== splice-site aware aligner) !

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You are right, that is what I meant, my bad.

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Thanks a lot for your answers, it made my day!

but (for alignment) RSEM uses bowtie2 only right ?

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Yeah, or bowtie 1, if you specify it. But it works quite fine, imho. However, you can use HISAT2 on transcriptome references tailoring the output directly for cufflinks (--dta-cufflinks) if this helps you.

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6.3 years ago

You should also consider pseudo-alignments tools, such as kallisto and salmon. They are extremely fast and lightweight, can quantify millions of reads under a few minutes on a laptop computer.

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6.3 years ago
GenoMax 141k

BBMap suite (includes scanning/trimming program bbduk.sh and many things other than the aligner, which is bbmap.sh). I will not enumerate its advantages, since they should be apparent, if/when you try it.

Many aligners will need ~ 30G of RAM for human genome. If you don't have that available then bwa may be the one to try. It minimally needs ~6 G RAM.

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