y*e
2 楼
请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
颈啦?还有其他的发展方向吗?=)
谢谢赐教!不胜感激!
个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
颈啦?还有其他的发展方向吗?=)
谢谢赐教!不胜感激!
c*g
3 楼
这是什么剧?
d*r
4 楼
选1.
不过你可以问SarahtheFool, 版上bioinfo这方面,她最知道了。
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
不过你可以问SarahtheFool, 版上bioinfo这方面,她最知道了。
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
e*t
6 楼
how much for working in bioinfo core做bioinformatics analyst?
and how much for posdoc?
and how much for posdoc?
j*x
7 楼
不想一辈子做技术(当然,即使一想辈子在公司里做技术很可能也做不了),那就干几
年攒点钱和人脉再去读个MBA,这是标准途径。但是走不走得下去得看人。在大学的
core facility做一辈子技术倒是没啥问题
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
年攒点钱和人脉再去读个MBA,这是标准途径。但是走不走得下去得看人。在大学的
core facility做一辈子技术倒是没啥问题
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
w*y
10 楼
The best way out is still faculty
but if you don't like writing papers and proposals,
you can take the core's offer IF you really like the school and the city
Usually, phd scientists at the bioinfo core are well paid
(not high as big pharma/biotech though), but there is little room for
promotion.
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
but if you don't like writing papers and proposals,
you can take the core's offer IF you really like the school and the city
Usually, phd scientists at the bioinfo core are well paid
(not high as big pharma/biotech though), but there is little room for
promotion.
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
n*t
12 楼
如果选1,工资是最重要的衡量因素。在core做analyst说白了就是干杂活,别人要啥你
就做啥,所以工资比啥都重要,入行时候的工资一定要好好bargain,因为以后涨基本
是百分比。想再有大的改变只有换工作了。
就做啥,所以工资比啥都重要,入行时候的工资一定要好好bargain,因为以后涨基本
是百分比。想再有大的改变只有换工作了。
y*e
14 楼
谢谢wsbioguy!
这也是我担心的问题,怕以后上升空间不大
也没有机会再转出去进公司
公司都招有postdoc经验的吧
【在 w******y 的大作中提到】
: The best way out is still faculty
: but if you don't like writing papers and proposals,
: you can take the core's offer IF you really like the school and the city
: Usually, phd scientists at the bioinfo core are well paid
: (not high as big pharma/biotech though), but there is little room for
: promotion.
:
: 有2
: gen
这也是我担心的问题,怕以后上升空间不大
也没有机会再转出去进公司
公司都招有postdoc经验的吧
【在 w******y 的大作中提到】
: The best way out is still faculty
: but if you don't like writing papers and proposals,
: you can take the core's offer IF you really like the school and the city
: Usually, phd scientists at the bioinfo core are well paid
: (not high as big pharma/biotech though), but there is little room for
: promotion.
:
: 有2
: gen
e*t
17 楼
lz ,have you try to find industry job?
company usually pays much more than school since you don't like faculty job.
But they also have high demand though. solid programming skills and
statistics are necessary.
company usually pays much more than school since you don't like faculty job.
But they also have high demand though. solid programming skills and
statistics are necessary.
t*m
19 楼
yes. lz should go to pharma/biotech. Fresh PhDs may look for 100~110K to
start
job.
【在 e*****t 的大作中提到】
: lz ,have you try to find industry job?
: company usually pays much more than school since you don't like faculty job.
: But they also have high demand though. solid programming skills and
: statistics are necessary.
start
job.
【在 e*****t 的大作中提到】
: lz ,have you try to find industry job?
: company usually pays much more than school since you don't like faculty job.
: But they also have high demand though. solid programming skills and
: statistics are necessary.
O*e
23 楼
很多搞基因组的实验室都挺需要bioinformaticians。其实到一个牛点的实验室试两年
再决定是不是放弃faculty career path也是个OK的选择。
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
再决定是不是放弃faculty career path也是个OK的选择。
有2
gen
【在 y******e 的大作中提到】
: 请问有经验的大侠们,Bioinformatician的职业发展前景怎么样?刚PhD毕业,目前有2
: 个职位,一个是在学校的bioinfo core做bioinformatics analyst,专门分析next-gen
: data,另外一个是postdoc,研究cancer,也用到next-gen的技术。现在比较倾向于第
: 一个,因为以后不打算做faculty(其实是做不来,唉,不善于看paper写grant),想
: 进公司。但是担心如果做了是不是一辈子做Bioinformatician,最后升到senior就是瓶
: 颈啦?还有其他的发展方向吗?=)
: 谢谢赐教!不胜感激!
y*e
28 楼
哇,这么多回复!!!太感动了~~~
我也在找,投了30多,postdoc industry university
industry的统统没有回音
发信也不理
查状态还是applied
估计不是还没处理就是被人鄙视了。。。。。。。。。。
job.
【在 e*****t 的大作中提到】
: lz ,have you try to find industry job?
: company usually pays much more than school since you don't like faculty job.
: But they also have high demand though. solid programming skills and
: statistics are necessary.
我也在找,投了30多,postdoc industry university
industry的统统没有回音
发信也不理
查状态还是applied
估计不是还没处理就是被人鄙视了。。。。。。。。。。
job.
【在 e*****t 的大作中提到】
: lz ,have you try to find industry job?
: company usually pays much more than school since you don't like faculty job.
: But they also have high demand though. solid programming skills and
: statistics are necessary.
y*e
34 楼
先开会去了
非常感谢大侠们的回复!!!!
感动ING
回来再看~~~
非常感谢大侠们的回复!!!!
感动ING
回来再看~~~
g*r
38 楼
再帮朋友广告一次。
novartis也再招类似职位。现在NGS人少工作多,过几年就不是这个形势了。可以考虑
先占座。
http://www.mitbbs.com/article_t0/Biology/31552361.html
novartis也再招类似职位。现在NGS人少工作多,过几年就不是这个形势了。可以考虑
先占座。
http://www.mitbbs.com/article_t0/Biology/31552361.html
y*e
44 楼
也顶这个
上次就看到了,可惜还没赚满3年经验
努力中!
【在 g********r 的大作中提到】
: 再帮朋友广告一次。
: novartis也再招类似职位。现在NGS人少工作多,过几年就不是这个形势了。可以考虑
: 先占座。
: http://www.mitbbs.com/article_t0/Biology/31552361.html
上次就看到了,可惜还没赚满3年经验
努力中!
【在 g********r 的大作中提到】
: 再帮朋友广告一次。
: novartis也再招类似职位。现在NGS人少工作多,过几年就不是这个形势了。可以考虑
: 先占座。
: http://www.mitbbs.com/article_t0/Biology/31552361.html
M*n
47 楼
到俺们这儿来呀。
俺们这儿刚刚建了一个bioinformatics的department, 狂招人呢。
这一年来,job talks 非常多。
不过早点占位子才是关键哦。
俺们这儿刚刚建了一个bioinformatics的department, 狂招人呢。
这一年来,job talks 非常多。
不过早点占位子才是关键哦。
t*r
52 楼
bioinformaticsa never compare to biostatician,
pay lower and work harder
pay lower and work harder
e*t
55 楼
search on job seeking websites, you will see.
large part of industry job come from biotech company not pharm.
by the way, why pharmacy need to 打交道 with baylor genome center? those are
so different fields. i didn't see...
。公司
【在 f****6 的大作中提到】
: 我是pharm的学生,经常和baylor genome center的人打交道,个人感觉这玩意。。。公司
: 目前应该兴趣不大吧。欢迎指正
large part of industry job come from biotech company not pharm.
by the way, why pharmacy need to 打交道 with baylor genome center? those are
so different fields. i didn't see...
。公司
【在 f****6 的大作中提到】
: 我是pharm的学生,经常和baylor genome center的人打交道,个人感觉这玩意。。。公司
: 目前应该兴趣不大吧。欢迎指正
H*J
56 楼
回国的话,我可以帮得上忙,^_^
Provide primary informatics support to the Disease & Translational Areas (
DTA) and Translational Research Sciences (TRS) in Shanghai. The candidate
will be expected to:
1. Liaise with scientific contacts in both discovery and translational
areas within the DTA and TRS organizations to understand informatics
requirements, identify technical solutions and partner with local and global
informatics teams to deliver projects
2. Must be able to analyze, model and optimize workflows, develop and use
best practices, including template development for biological data capture
, and have a working knowledge of laboratory statistics (e.g. t-test, ANOVA)
3. Work with Contract Research Organizations to ensure that data
standards are met and that data is made available to Roche scientists using
existing tools
4. Provide advanced technical expertise and systems integration in
supporting existing informatics tools and in developing and deploying new
tools, and managing systems lifecycles
5. Must be able to leverage understanding of next generation sequencing,
microarray, and other genetics/genomics technologies to contribute to the
delivery of platforms to support data management in understanding disease
Position requires that candidate have and keep up to date both scientific
and technical knowledge and skills. Will need to manage projects, vendors,
work with colleagues in the Global Informatics and pRED Informatics groups,
and work with colleagues in Roche pRED centers around the world.
罗氏上海机会(j****[email protected])
Provide primary informatics support to the Disease & Translational Areas (
DTA) and Translational Research Sciences (TRS) in Shanghai. The candidate
will be expected to:
1. Liaise with scientific contacts in both discovery and translational
areas within the DTA and TRS organizations to understand informatics
requirements, identify technical solutions and partner with local and global
informatics teams to deliver projects
2. Must be able to analyze, model and optimize workflows, develop and use
best practices, including template development for biological data capture
, and have a working knowledge of laboratory statistics (e.g. t-test, ANOVA)
3. Work with Contract Research Organizations to ensure that data
standards are met and that data is made available to Roche scientists using
existing tools
4. Provide advanced technical expertise and systems integration in
supporting existing informatics tools and in developing and deploying new
tools, and managing systems lifecycles
5. Must be able to leverage understanding of next generation sequencing,
microarray, and other genetics/genomics technologies to contribute to the
delivery of platforms to support data management in understanding disease
Position requires that candidate have and keep up to date both scientific
and technical knowledge and skills. Will need to manage projects, vendors,
work with colleagues in the Global Informatics and pRED Informatics groups,
and work with colleagues in Roche pRED centers around the world.
罗氏上海机会(j****[email protected])
h*r
57 楼
mark
s*u
69 楼
借人气问一下大虾们cancer epigenomics 这个方向怎么样?
i*f
71 楼
希望楼主一切顺利
h*0
72 楼
NGS数据分析,我觉得应该多做一些
等以后更好的技术出来,好多数据要分析了.
说不定真能解决一下实际问题.
等以后更好的技术出来,好多数据要分析了.
说不定真能解决一下实际问题.
f*6
73 楼
it is just my personal opinion about gene sequencing coz it is one part of
my project. I don't think big pharms would be interested at least at this
moment. biotech will be bought by big pharms eventually, they can't develope
any drug.
are
【在 e*****t 的大作中提到】
: search on job seeking websites, you will see.
: large part of industry job come from biotech company not pharm.
: by the way, why pharmacy need to 打交道 with baylor genome center? those are
: so different fields. i didn't see...
:
: 。公司
my project. I don't think big pharms would be interested at least at this
moment. biotech will be bought by big pharms eventually, they can't develope
any drug.
are
【在 e*****t 的大作中提到】
: search on job seeking websites, you will see.
: large part of industry job come from biotech company not pharm.
: by the way, why pharmacy need to 打交道 with baylor genome center? those are
: so different fields. i didn't see...
:
: 。公司
e*t
74 楼
pharms have to be interested in how genetic variation affect drug's effcacy.
In the not far fure, FDA would require pharm companies provide clinical
trial data on subjects on different genetic background.maybe they've already
asked for it right now. That's trend. For big pharms, they have to move
ahead. otherwise, they will be eliminated.
develope
【在 f****6 的大作中提到】
: it is just my personal opinion about gene sequencing coz it is one part of
: my project. I don't think big pharms would be interested at least at this
: moment. biotech will be bought by big pharms eventually, they can't develope
: any drug.
:
: are
In the not far fure, FDA would require pharm companies provide clinical
trial data on subjects on different genetic background.maybe they've already
asked for it right now. That's trend. For big pharms, they have to move
ahead. otherwise, they will be eliminated.
develope
【在 f****6 的大作中提到】
: it is just my personal opinion about gene sequencing coz it is one part of
: my project. I don't think big pharms would be interested at least at this
: moment. biotech will be bought by big pharms eventually, they can't develope
: any drug.
:
: are
e*t
76 楼
gao ren bu gan
sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
You could have genetic structure variation, like CNV.
sequencing the mRNA, you will have gene expression data, which could be used
for transcriptome analysis, or eQTL mapping.
Chip-seq gives you DNA-binding proteins analysis, like TF, histone
modification.
bisulfite sequencing give you DNA methylation, which has high correlation
with gene expression.
【在 S**********l 的大作中提到】
: 我一直不太理解NGS有什么用处。那位高人点拨一下?
sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
You could have genetic structure variation, like CNV.
sequencing the mRNA, you will have gene expression data, which could be used
for transcriptome analysis, or eQTL mapping.
Chip-seq gives you DNA-binding proteins analysis, like TF, histone
modification.
bisulfite sequencing give you DNA methylation, which has high correlation
with gene expression.
【在 S**********l 的大作中提到】
: 我一直不太理解NGS有什么用处。那位高人点拨一下?
S*l
77 楼
这几种分析用的软件都一样么?map的步骤。我们一般都用maq,但是我感觉不够
professional
).
used
【在 e*****t 的大作中提到】
: gao ren bu gan
: sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
: You could have genetic structure variation, like CNV.
: sequencing the mRNA, you will have gene expression data, which could be used
: for transcriptome analysis, or eQTL mapping.
: Chip-seq gives you DNA-binding proteins analysis, like TF, histone
: modification.
: bisulfite sequencing give you DNA methylation, which has high correlation
: with gene expression.
professional
).
used
【在 e*****t 的大作中提到】
: gao ren bu gan
: sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
: You could have genetic structure variation, like CNV.
: sequencing the mRNA, you will have gene expression data, which could be used
: for transcriptome analysis, or eQTL mapping.
: Chip-seq gives you DNA-binding proteins analysis, like TF, histone
: modification.
: bisulfite sequencing give you DNA methylation, which has high correlation
: with gene expression.
e*t
79 楼
oh hell,there are so many software available. i used to use maq,it's quite
reliable. but it's slow...
now many ppl use bowtie, it's fast and memory economic because it's special
algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
you want to align on splicing junction...
【在 S**********l 的大作中提到】
: 这几种分析用的软件都一样么?map的步骤。我们一般都用maq,但是我感觉不够
: professional
:
: ).
: used
reliable. but it's slow...
now many ppl use bowtie, it's fast and memory economic because it's special
algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
you want to align on splicing junction...
【在 S**********l 的大作中提到】
: 这几种分析用的软件都一样么?map的步骤。我们一般都用maq,但是我感觉不够
: professional
:
: ).
: used
S*l
81 楼
看来您真是NGS的高人了。能不能写一篇总结让我们这种菜鸟看看?
special
【在 e*****t 的大作中提到】
: oh hell,there are so many software available. i used to use maq,it's quite
: reliable. but it's slow...
: now many ppl use bowtie, it's fast and memory economic because it's special
: algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
: you want to align on splicing junction...
special
【在 e*****t 的大作中提到】
: oh hell,there are so many software available. i used to use maq,it's quite
: reliable. but it's slow...
: now many ppl use bowtie, it's fast and memory economic because it's special
: algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
: you want to align on splicing junction...
m*i
83 楼
you are right, maq is too slow
bowtie 不能做 gap alignment. no good.
GATK is one of the main stream tools now. BGI's soap tools are also good.
special
【在 e*****t 的大作中提到】
: oh hell,there are so many software available. i used to use maq,it's quite
: reliable. but it's slow...
: now many ppl use bowtie, it's fast and memory economic because it's special
: algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
: you want to align on splicing junction...
bowtie 不能做 gap alignment. no good.
GATK is one of the main stream tools now. BGI's soap tools are also good.
special
【在 e*****t 的大作中提到】
: oh hell,there are so many software available. i used to use maq,it's quite
: reliable. but it's slow...
: now many ppl use bowtie, it's fast and memory economic because it's special
: algorithm. you can even run it on pc. for RNA-seq, some ppl use tophat if
: you want to align on splicing junction...
e*t
85 楼
bu gang bu gang. many ppl playing in this board are really gao shou. i am
still 菜鸟. wikipedia has a nice introduction:
http://en.wikipedia.org/wiki/List_of_sequence_alignment_softwar
one thing i am happy with is that some softwares developed in this field by
Chinese. They are really good. this is fast going field, which means great
opportunity for minority, like us.In my school, half of bioinfo faculty are
Chinese.Same to students. Even more for posdoc.
【在 S**********l 的大作中提到】
: 看来您真是NGS的高人了。能不能写一篇总结让我们这种菜鸟看看?
:
: special
still 菜鸟. wikipedia has a nice introduction:
http://en.wikipedia.org/wiki/List_of_sequence_alignment_softwar
one thing i am happy with is that some softwares developed in this field by
Chinese. They are really good. this is fast going field, which means great
opportunity for minority, like us.In my school, half of bioinfo faculty are
Chinese.Same to students. Even more for posdoc.
【在 S**********l 的大作中提到】
: 看来您真是NGS的高人了。能不能写一篇总结让我们这种菜鸟看看?
:
: special
h*0
86 楼
看来NGS在某些领域的宣传还不够啊....
我个人十分看好NGS,可能因为我做的就是这个
等单分子测序技术成熟的时候
我觉得在癌症研究上会有很大的突破
对上面的补充一下,还有METAGENOMICS
我个人十分看好NGS,可能因为我做的就是这个
等单分子测序技术成熟的时候
我觉得在癌症研究上会有很大的突破
对上面的补充一下,还有METAGENOMICS
h*0
95 楼
NGS = next generation sequencer 就是我们说的新一代测序技术,或者说这个技术得
到的数据,反正你懂的
比如BGI家的137台(好像)Illumina HiSeq 2000高通量测序仪
用这种测序仪或技术,可以得到DNA-seq、small RNA-seq、transcriptomic、ChIP-seq
、meta-genomics的数据,
我说 我做NGS,就是说我的研究对象是NGS产生的数据,这些高通量的数据(比如说用重测
序做GWAS)自己就能做一个大项目来研究(你PCR就不行了)
因为我们不但要分析这些高通量数据,我们还有整合大量的已知的功能数据,生物学资源
,预测的功能数据,系统生物学等BLABLA的
我表达能力不好,不知道说明白了没
【在 S**********l 的大作中提到】
: 您能解释一下什么叫做做NGS的么?它不就是一种技术么?难道可以说,我就是做pcr的
: ?多谢指点!
S*l
97 楼
“因为我们不但要分析这些高通量数据,我们还有整合大量的已知的功能数据,生物学资源
,预测的功能数据,系统生物学等BLABLA的”
下游这写你们怎么弄?btw,你的表达能力很强
seq
【在 h***0 的大作中提到】
:
: NGS = next generation sequencer 就是我们说的新一代测序技术,或者说这个技术得
: 到的数据,反正你懂的
: 比如BGI家的137台(好像)Illumina HiSeq 2000高通量测序仪
: 用这种测序仪或技术,可以得到DNA-seq、small RNA-seq、transcriptomic、ChIP-seq
: 、meta-genomics的数据,
: 我说 我做NGS,就是说我的研究对象是NGS产生的数据,这些高通量的数据(比如说用重测
: 序做GWAS)自己就能做一个大项目来研究(你PCR就不行了)
: 因为我们不但要分析这些高通量数据,我们还有整合大量的已知的功能数据,生物学资源
: ,预测的功能数据,系统生物学等BLABLA的
,预测的功能数据,系统生物学等BLABLA的”
下游这写你们怎么弄?btw,你的表达能力很强
seq
【在 h***0 的大作中提到】
:
: NGS = next generation sequencer 就是我们说的新一代测序技术,或者说这个技术得
: 到的数据,反正你懂的
: 比如BGI家的137台(好像)Illumina HiSeq 2000高通量测序仪
: 用这种测序仪或技术,可以得到DNA-seq、small RNA-seq、transcriptomic、ChIP-seq
: 、meta-genomics的数据,
: 我说 我做NGS,就是说我的研究对象是NGS产生的数据,这些高通量的数据(比如说用重测
: 序做GWAS)自己就能做一个大项目来研究(你PCR就不行了)
: 因为我们不但要分析这些高通量数据,我们还有整合大量的已知的功能数据,生物学资源
: ,预测的功能数据,系统生物学等BLABLA的
y*e
106 楼
跑个程序回来变高楼了……
h*0
108 楼
资源
这就是怎么来解释其中的生物学意义了
比如说吧我们一定要从海量的数据中,筛来筛去,运用各种数学方法,统计方法
找到几个我们感兴趣的candidates
举个例子,我不会干说
比如说我知道野生番茄,和栽培番茄的基因组数据,或者转录组数据
首先数据处理,比如说基因组拼接,注释都要用已有的工具, SNPs, SVs的检测又要用工具
表达差异分析又有N多工具
因为这两个物种太近,所以大部分相似,少量不同,我们对不同感兴趣
我们首先要找到显著不同的(用已有的工具,自己再写点perl scripts)
找到了显著的不同,我们要看看这个不同是不是栽培过程的人工选择等等
然后预测其功能(如果功能不已知)
最后发现了比如说一个基因,它的表达在野生跟栽培明显不同,而且它的功能可能与扛病
有关(比如它在拟南芥的同源基因是一个抗真菌的)
就用实验验证一下什么的
举的例子不贴切,但是大概就是这个意思,这个是技术分析的路线
你也可以做工具开发什么的,基因组注释什么的就一般跑个PIPELINE什么的,比较容易上
手了.
我觉得我都给我自己说凌乱了.......
【在 S**********l 的大作中提到】
: “因为我们不但要分析这些高通量数据,我们还有整合大量的已知的功能数据,生物学资源
: ,预测的功能数据,系统生物学等BLABLA的”
: 下游这写你们怎么弄?btw,你的表达能力很强
:
: seq
h*0
119 楼
我看一个文章说,在众多molecula network中
transcriptional regulation还有phosphorylation是rewiring最快的两个
比蛋白序列的上的变化快
所以我觉得从dna,蛋白序列上找到真正起到作用的差异的几率很小,噪音太多了
同意你说的,RNA-seq, ChIP-seq, 还有proteomics的数据更可信,也更能反应真实情况
【在 e*****t 的大作中提到】
: GWAS is only one option if you don't have other choices. Actually, I doubt
: most conclusion based on DNA sequencing. RNA-seq probably makes more sense
: so far...
h*0
133 楼
只用高通量数据当然不能确定了.......
http://www.phosphogrid.org/about.php
这个网站好,你感兴趣去看看,它整合了真正有功能的
【在 s*f 的大作中提到】
:
: 怎么确定这个功能真正是被打开了呢? phosxx只是个必要条件吧
s*f
135 楼
谢谢您!
【在 h***0 的大作中提到】
:
: 只用高通量数据当然不能确定了.......
: http://www.phosphogrid.org/about.php
: 这个网站好,你感兴趣去看看,它整合了真正有功能的
【在 h***0 的大作中提到】
:
: 只用高通量数据当然不能确定了.......
: http://www.phosphogrid.org/about.php
: 这个网站好,你感兴趣去看看,它整合了真正有功能的
w*y
141 楼
GATK is a variant caller. It takes bam file as the input.
You can use whatever aligners to generate the bam file.
As I said above, BWA is the one used in major genome centers for the
illumina platform. For the solid platform, BWA is not the ideal one.
【在 m*****i 的大作中提到】
: GATK is a pipeline, BWA is part of it.
You can use whatever aligners to generate the bam file.
As I said above, BWA is the one used in major genome centers for the
illumina platform. For the solid platform, BWA is not the ideal one.
【在 m*****i 的大作中提到】
: GATK is a pipeline, BWA is part of it.
g*g
144 楼
建议你们看看最近的一篇文章.有各alignment软件在cancer and normal tissue 中的
比较.
http://www.nature.com/srep/2011/110805/srep00055/pdf/srep00055.
比较.
http://www.nature.com/srep/2011/110805/srep00055/pdf/srep00055.
h*8
146 楼
高人发言
赶紧 mark
).
used
【在 e*****t 的大作中提到】
: gao ren bu gan
: sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
: You could have genetic structure variation, like CNV.
: sequencing the mRNA, you will have gene expression data, which could be used
: for transcriptome analysis, or eQTL mapping.
: Chip-seq gives you DNA-binding proteins analysis, like TF, histone
: modification.
: bisulfite sequencing give you DNA methylation, which has high correlation
: with gene expression.
赶紧 mark
).
used
【在 e*****t 的大作中提到】
: gao ren bu gan
: sequencing the whole genome, you could get SNP (for GWAS, linkage analysis).
: You could have genetic structure variation, like CNV.
: sequencing the mRNA, you will have gene expression data, which could be used
: for transcriptome analysis, or eQTL mapping.
: Chip-seq gives you DNA-binding proteins analysis, like TF, histone
: modification.
: bisulfite sequencing give you DNA methylation, which has high correlation
: with gene expression.
j*u
151 楼
Ph.D毕业,同一个学校,两个职位,一个是postdoc fellow, 另一个是staff informatician/
programmer,哪一个好?谢谢.
programmer,哪一个好?谢谢.
j*u
154 楼
re
j*u
155 楼
re
b*1
161 楼
Check the person you will work with. This is a very interesting direction,
but make sure not to spending too much time on providing service.
but make sure not to spending too much time on providing service.
u*1
162 楼
我的印象中是最早有MAQ,但速度很慢(好像还是和BLAST一样属于hash table-based的)
然后Bowtie使用了一种很独特的algorithm(Burrow-Wheeler algorithm?),大大的提
高了运算速度。
然后Heng Li就把Bowtie的这个algorithm移植到了MAQ上成为了BWA
但其实上面这所有的alignment tool,当query sequence可以map到不同locations的时
候,是randomly pick up one的;纵然BWA可以设置report不同的location,其实回复
出来的信息还是很少的。尤其因为genome有很多的repetitive sequence和segmental
duplication,所以这些alignment tool报告的信息是不全面的。而貌似现在就只有一
家UW的写出mrFAST这个alignment可以report所有的locations,不晓得这里有没有人尝
试过。
【在 w******y 的大作中提到】
: BWA is the one used in major genome centers
然后Bowtie使用了一种很独特的algorithm(Burrow-Wheeler algorithm?),大大的提
高了运算速度。
然后Heng Li就把Bowtie的这个algorithm移植到了MAQ上成为了BWA
但其实上面这所有的alignment tool,当query sequence可以map到不同locations的时
候,是randomly pick up one的;纵然BWA可以设置report不同的location,其实回复
出来的信息还是很少的。尤其因为genome有很多的repetitive sequence和segmental
duplication,所以这些alignment tool报告的信息是不全面的。而貌似现在就只有一
家UW的写出mrFAST这个alignment可以report所有的locations,不晓得这里有没有人尝
试过。
【在 w******y 的大作中提到】
: BWA is the one used in major genome centers
j*p
163 楼
Bowtie has an option to report all alignments.
-a/--all report all alignments per read (much slower than low -k)
的)
【在 u*********1 的大作中提到】
: 我的印象中是最早有MAQ,但速度很慢(好像还是和BLAST一样属于hash table-based的)
: 然后Bowtie使用了一种很独特的algorithm(Burrow-Wheeler algorithm?),大大的提
: 高了运算速度。
: 然后Heng Li就把Bowtie的这个algorithm移植到了MAQ上成为了BWA
: 但其实上面这所有的alignment tool,当query sequence可以map到不同locations的时
: 候,是randomly pick up one的;纵然BWA可以设置report不同的location,其实回复
: 出来的信息还是很少的。尤其因为genome有很多的repetitive sequence和segmental
: duplication,所以这些alignment tool报告的信息是不全面的。而貌似现在就只有一
: 家UW的写出mrFAST这个alignment可以report所有的locations,不晓得这里有没有人尝
: 试过。
-a/--all report all alignments per read (much slower than low -k)
的)
【在 u*********1 的大作中提到】
: 我的印象中是最早有MAQ,但速度很慢(好像还是和BLAST一样属于hash table-based的)
: 然后Bowtie使用了一种很独特的algorithm(Burrow-Wheeler algorithm?),大大的提
: 高了运算速度。
: 然后Heng Li就把Bowtie的这个algorithm移植到了MAQ上成为了BWA
: 但其实上面这所有的alignment tool,当query sequence可以map到不同locations的时
: 候,是randomly pick up one的;纵然BWA可以设置report不同的location,其实回复
: 出来的信息还是很少的。尤其因为genome有很多的repetitive sequence和segmental
: duplication,所以这些alignment tool报告的信息是不全面的。而貌似现在就只有一
: 家UW的写出mrFAST这个alignment可以report所有的locations,不晓得这里有没有人尝
: 试过。
w*i
164 楼
的)
I think bwa and bowtie were developed about the same time. bowtie was not
the first sequence alignment software to implemented bw transformation. The
first one was by a cs group from hku(or hkust), and BWA is based on that
software.(also soap2) bowtie also uses bw transformation but not directly
based on hk guys' work.
IMO bowtie over-advertised in their paper, it uses some aggressive
optimizations to achieve better speed and less memory usage, but at the
price of mapping sensitivity.
【在 u*********1 的大作中提到】
: 我的印象中是最早有MAQ,但速度很慢(好像还是和BLAST一样属于hash table-based的)
: 然后Bowtie使用了一种很独特的algorithm(Burrow-Wheeler algorithm?),大大的提
: 高了运算速度。
: 然后Heng Li就把Bowtie的这个algorithm移植到了MAQ上成为了BWA
: 但其实上面这所有的alignment tool,当query sequence可以map到不同locations的时
: 候,是randomly pick up one的;纵然BWA可以设置report不同的location,其实回复
: 出来的信息还是很少的。尤其因为genome有很多的repetitive sequence和segmental
: duplication,所以这些alignment tool报告的信息是不全面的。而貌似现在就只有一
: 家UW的写出mrFAST这个alignment可以report所有的locations,不晓得这里有没有人尝
: 试过。
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