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New Resources for 1000 Genomes
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35 responses
107,646 views
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by laura
12-05-2013, 02:37 AM
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Closed, Sticky:
Software packages for next gen sequence analysis
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236 responses
684,382 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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7 responses
5,958 views
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by ssb
03-25-2016, 04:30 PM
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2 responses
5,094 views
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by ghazal
03-25-2016, 11:51 AM
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0 responses
2,098 views
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by bibi
03-25-2016, 04:53 AM
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2 responses
3,778 views
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by carolW
03-25-2016, 12:24 AM
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2 responses
2,988 views
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by gongyh211
03-24-2016, 05:38 PM
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0 responses
2,990 views
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by deep639
03-24-2016, 03:05 PM
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7 responses
5,197 views
0 reactions
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by intregen
03-24-2016, 06:36 AM
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1 response
1,815 views
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by GenoMax
03-24-2016, 05:27 AM
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10 responses
13,852 views
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by GenoMax
03-24-2016, 04:23 AM
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4 responses
1,797 views
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by lspath
03-23-2016, 09:24 AM
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No topics found.
Posted Photos
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ChatGPT Image 14. Juli 2026, 14_26_42.jpg
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Next-generation sequencing (NGS) is now central to outbreak investigations and antimicrobial resistance tracking. Through sophisticated...07-31-2026, 07:00 AM
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CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized...07-31-2026, 11:01 AM -
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM -
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.
...07-09-2026, 11:10 AM