Question: Best Approach To Find Non-Human Sequences In Human Ests
gravatar for Neilfws
10.2 years ago by
Sydney, Australia
Neilfws48k wrote:

Several years ago, I was involved with a project to detect putative archaeal sequences in human sequence data. Unfortunately, as is often the case in academia, the database described in the publication was not maintained when I moved to a new job.

This type of study has perhaps been superseded by the Human Microbiome Project. However, I'm still interested in methods to detect potentially-interesting "contaminant" sequences in public databases of sequences that are (supposedly) from one organism.

Originally, we used BLAT to search the human EST database using archaeal genes (from complete genome sequences) as the query. My questions are:

  1. Was using these 2 databases the best approach, or are there better sources?
  2. Would you use BLAT today for this type of task, or a different tool?
ADD COMMENTlink modified 5.9 years ago by Biostar ♦♦ 20 • written 10.2 years ago by Neilfws48k

@neilfws: Any luck finding an answer?

ADD REPLYlink written 9.8 years ago by Blunders1.1k
gravatar for Fred Fleche
10.2 years ago by
Fred Fleche4.3k
Paris, France
Fred Fleche4.3k wrote:


CleanEST: a database of cleansed EST libraries

ADD COMMENTlink written 10.2 years ago by Fred Fleche4.3k

Interesting. Although when I go to download at their website, it seems that there are the same number of "pre-cleansed" human ESTs as "cleansed".

ADD REPLYlink written 10.2 years ago by Neilfws48k
gravatar for Martin A Hansen
9.2 years ago by
Martin A Hansen3.0k
Martin A Hansen3.0k wrote:

I guess searching hgEST with genes from complete archaeal genomes is just fine. One could perhaps expand the number of archaeal genes by including genes from draft genomes or any archaeal genes from Genbank. Genes could be simple predictions from Glimmer or Prodigal. ESTs and genes could be pre-clustered before searching (see next):

For the second question I will suggest Uclust.

ADD COMMENTlink written 9.2 years ago by Martin A Hansen3.0k
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