There are no conversations in this channel.
Please log in to your account to view your subscribed posts.
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
0 responses
1,400 views
0 reactions
|
by nisha barak
12-19-2013, 09:42 AM
|
|||
|
5 responses
6,017 views
0 reactions
|
by buckybadger
12-19-2013, 07:20 AM
|
|||
|
1 response
2,560 views
0 reactions
|
by Chiper
12-11-2013, 11:04 AM
|
|||
|
0 responses
1,824 views
0 reactions
|
by NeleZ
12-09-2013, 08:48 AM
|
|||
|
2 responses
5,098 views
0 reactions
|
by Anna Maria
12-06-2013, 02:39 PM
|
|||
|
0 responses
1,354 views
0 reactions
|
by emolinari
12-06-2013, 07:58 AM
|
|||
|
4 responses
3,449 views
0 reactions
|
by ianclarke
12-04-2013, 07:36 AM
|
|||
|
1 response
2,440 views
0 reactions
|
by KnowNothing2
12-02-2013, 02:28 PM
|
|||
|
0 responses
1,943 views
0 reactions
|
12-02-2013, 09:22 AM
|
|||
|
4 responses
3,284 views
0 reactions
|
by fungi122
12-02-2013, 08:17 AM
|
No topics found.
widgetinstance 229 (Webinars) skipped due to lack of content & hide_module_if_empty option.
-
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.
...Today, 11:10 AM -
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...Yesterday, 05:17 AM -
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.07-01-2026, 11:43 AM