How does Tophat rank alignment?

hyj004

Junior Member

Join Date: Jan 2011

Posts: 1
- Share
- Tweet
#1

How does Tophat rank alignment?

01-19-2011, 02:54 PM

Hello

I am wondering how Tophat ranks alignment from bowtie.

For example,
'A' read is mapped to 10 locations by bowtie.
Mapping quality of these 10 locations is set to 255 because bowtie reports 255 if a read aligns to genome.
In the end, Tophat outputs only two locations out of 10 after ranking the alignment result.

Does anyone know how Tophat ranks alignemts?Does Tophat use mismatch information for this?

I would appreciate if somebody could answer this question.
Thanks!!
Tags: None

Previous template Next

Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems

by SEQadmin2

Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...
- Channel: Articles
07-09-2026, 11:10 AM
Cancer Drug Resistance: The Lingering Barrier to Rising Survival

by SEQadmin2

Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
- Channel: Articles
07-08-2026, 05:17 AM
Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing

by GATTACAT

Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
- Channel: Articles
07-01-2026, 11:43 AM

Topics	Statistics	Last Post
UC San Diego Bioengineers Map Gene Function in Human Stem Cells by SEQadmin2 Started by SEQadmin2, 07-13-2026, 10:26 AM	0 responses 24 views 0 reactions	Last Post by SEQadmin2 07-13-2026, 10:26 AM
New Analysis Splits Leukemia Into 16 Epigenomic Subgroups by SEQadmin2 Started by SEQadmin2, 07-09-2026, 10:04 AM	0 responses 34 views 0 reactions	Last Post by SEQadmin2 07-09-2026, 10:04 AM
Genome-Wide CRISPR Screen Uncovers Unlikely Psoriasis Target by SEQadmin2 Started by SEQadmin2, 07-08-2026, 10:08 AM	0 responses 21 views 0 reactions	Last Post by SEQadmin2 07-08-2026, 10:08 AM
Engineered Protein Motor Takes Its First Steps Along DNA Track by SEQadmin2 Started by SEQadmin2, 07-07-2026, 11:05 AM	0 responses 34 views 0 reactions	Last Post by SEQadmin2 07-07-2026, 11:05 AM

Unconfigured Ad

How does Tophat rank alignment?

Latest Articles

ad_right_rmr

News