It sounds like you are most interested in the identified peptides rather than 
the sufficient set of proteins able to explain all of your peptide 
observations.  The peptides you are seeing map to many proteins, and 
unfortunately you are not observing peptides that would individually 
distinguish the protein isoforms.  Unfortunately, this is likely a common 
problem and there is no one size fits all solution.  Maybe the search 
parameters tolerances and PTMs can be further optimized? Perhaps the isoforms 
you are seeking are modified with some PTM that is currently not in your 
parameter set?  Maybe you can apply a targeted acquisition, going specifically 
after the peptides that would distinguish the isoforms?  Not really sure, but 
the TPP data-driven analysis seems to be working ok in providing some clues, 
given the data.  

Cheers!
-David 

> On Aug 1, 2024, at 3:30 AM, sudarshan kumar <[email protected]> wrote:
> 
> Hi David 
> thank you so much. I learnt a lot from your discussion.
> 
> Can you please go through the ppt? I have questions regarding how to include 
> 0 probability assigned isoform of a protein in our list of identified 
> protein. It is not possible if  i use the error rate cutoff criteria to sort 
> the list. 
> Case- I am studying tissue proteome. It has more than 30 isoforms of a 
> protein called pregnancy associated glycoprotein. I miss many of them in my 
> list of protiens if i filter the protiens list as per the error rate of .05
> 
> sensitivity: error table gives me the last error rate cutoff of .2086. How 
> advisable is it to move down still lower like .1 or .01.
> 
> When I lower the min_prob cutoff beyond .2086, it increases the number of 
> identification by including more proteins which belong to the already 
> reported "group of protein" some of which are with high number of PSM. I can 
> see those isoforms also. 
> 
> Please give your expert opinion. 
> 
> 
> 
> 
> 
> 
> 
> On Wed, Jul 31, 2024 at 9:27 AM 'David Shteynberg' via spctools-discuss 
> <[email protected] 
> <mailto:[email protected]>> wrote:
>> Absolutely!  Another thing to understand here is that the statistical 
>> analysis happens on several data reduction layers where PeptideProphet works 
>> on the level of PSMs, iProphet works of the level of peptide sequences and 
>> ProteinProphet works on the level of proteins.  Since these layers stack on 
>> top of each other, small errors from incorrect statistics at an earlier 
>> layer propagate into much larger errors at the lower levels.  Keeping 
>> entrapment decoys in the database allows one to have another evaluation of 
>> the error in addition to the TPP models' estimation and provides an FDR 
>> estimate that is independent from the TPP.  Unlike "True Positives", 
>> independent entrapment decoys are "True Negative" random matches that are 
>> not biased by the researcher's prior expectations.  
>> 
>> Also, there maybe a misunderstanding: as you lower the minimum probability 
>> threshold the error increases, and the sensitivity also increases (hopefully 
>> much faster than the error!)
>> 
>> Cheers!
>> 
>> -David
>> 
>> On Wed, Jul 31, 2024, 1:02 AM sudarshan kumar <[email protected] 
>> <mailto:[email protected]>> wrote:
>>> Hi David,
>>> I am reading your paragraph again and again to understand it fully and word 
>>> by word
>>> 
>>> You said -  I recommend you focus on the sensitivity of your analysis 
>>> rather than the absolute total of proteins identified, without 
>>> consideration for error
>>> 
>>> I usually take the 0.05 error to use the minimum probability cutoff to sort 
>>> my data. You mean to suggest me that I can go for higher sensitivity. If I 
>>> see this table - at higher sensitivity also (.8965) I am getting similar 
>>> (5268) number of correct hits which correspondence to the error rate of 
>>> .02. Even if i am increasing the sensitivity threshold on my data- the 
>>> correct hits keeps going down (as per the statistics) which will further 
>>> reduce the absolute number of correct proteins identified. 
>>> 
>>> As a researcher I want only the least number of the spectra should be 
>>> discarded by the prophet. What intrigues me is that - out of 88000 
>>> scans/spectra only 5000 are assigned to peptides at an error rate of .05. 
>>> Do you think this is normal?
>>> 
>>> <image.png>
>>> 
>>> On Tue, Jul 30, 2024 at 7:54 AM David Shteynberg 
>>> <[email protected] <mailto:[email protected]>> 
>>> wrote:
>>>> Hello Sud,
>>>> 
>>>> Please remember the job of the TPP is to separate the correct results 
>>>> (signal) from the random matches (noise) on the PSM level, peptide level 
>>>> (PTM-level) and protein level.  Generally speaking most datasets have a 
>>>> large portion of incorrect PSMs, which by the nature of statistics will 
>>>> match to random peptides and proteins selected from the search database.  
>>>> It is standard in our lab that we see large analysis of tens of millions 
>>>> of correct PSMs that map to tens of thousands of the correct peptides and 
>>>> perhaps only a few thousand or so proteins, depending on the sample (e.g. 
>>>> blood plasma.). So I am not concerned about the total numbers of proteins 
>>>> you are seeing after applying statistical cut-offs.  Certainly there are 
>>>> other models you can try in PeptideProphet that might alter your results 
>>>> slightly.  To have a deeper look at your data you have to find where the 
>>>> other correct PSMs might be recovered, e.g. you can try a semi-tryptic (or 
>>>> unconstrained) search, as we did in this thread, if you think the 
>>>> digestion was the issue.  Also, you can search for additional PTMs that 
>>>> are present in the sample but the existing search is missing.  I recommend 
>>>> you focus on the sensitivity of your analysis rather than the absolute 
>>>> total of proteins identified, without consideration for error. The goal of 
>>>> these tools is to give you a user-controlled accurate error rate while 
>>>> maximizing the sensitivity (number of correct identifications out of the 
>>>> total correct identifications possible in the entire analysis.).   One way 
>>>> to apply the TPP is to use the results to improve the laboratory methods 
>>>> to try maximize the return of correct proteins from the samples.  Also 
>>>> replicates, biological and technical are very helpful to help separate the 
>>>> correct signal from random noise.
>>>> 
>>>> Hope this helps!
>>>> 
>>>> -David
>>>> 
>>>>> On Jul 30, 2024, at 5:52 AM, sudarshan kumar <[email protected] 
>>>>> <mailto:[email protected]>> wrote:
>>>>> 
>>>>> Hi David,
>>>>> Thank you for clearing my doubts. 
>>>>> 
>>>>> I have few more queries -
>>>>> you said "The reason you are seeing many more protein numbers in the 
>>>>> PepXML Viewer (Summary Tab) as opposed to after running ProteinProphet is 
>>>>> likely because you haven’t applied any threshold filtering to the 
>>>>> probability (or other scores). You are seeing all the hits here as 
>>>>> opposed to the “likely correct” hits."
>>>>> 
>>>>> I tried to anlayze other run files. It is a blood sample run on orbitrap 
>>>>> fusion. The total number of scans are around 88000 (I consider it a high 
>>>>> number).
>>>>> till comet search there are many peptides hits (upto 50000). But as soon 
>>>>> as I put stats/models of validation (peptide prophet or iprophet) the 
>>>>> number of unique peptides falls down to 300. This drastic reduction in 
>>>>> the number of accurate peptides and hence proteins as well force me to 
>>>>> think that I am not using correct statistiical models.
>>>>> 
>>>>> I assume that from such a large number of PSM getting only 300 proteins 
>>>>> that too iin blood, is unbelievable. 
>>>>> <image.png>
>>>>> 
>>>>> original without puttin error filter
>>>>> <image.png>
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> On Mon, Jul 29, 2024 at 8:02 AM David Shteynberg 
>>>>> <[email protected] <mailto:[email protected]>> 
>>>>> wrote:
>>>>>> Hello Sud,
>>>>>> 
>>>>>> No problem!    
>>>>>> 
>>>>>> There is a difference between when PeptideProphet reports a probability 
>>>>>> of “0” for a PSM vs a probability of “0.0000”.   The lone zero “0” is 
>>>>>> used to represent the case when PeptideProphet model did not find a 
>>>>>> successful model for a mixture distribution of correct and incorrect 
>>>>>> result and returned no model as opposed to the model gave a low 
>>>>>> probability.  So, if all your probabilities come back as “0” it means no 
>>>>>> model and you have to either adjust analysis model or search parameters 
>>>>>> or look for another issue with the data, when you see “0.0000” it means 
>>>>>> the spectrum had a low score based on the model that was returned.
>>>>>> 
>>>>>> The reason you are seeing many more protein numbers in the PepXML Viewer 
>>>>>> (Summary Tab) as opposed to after running ProteinProphet is likely 
>>>>>> because you haven’t applied any threshold filtering to the probability 
>>>>>> (or other scores). You are seeing all the hits here as opposed to the 
>>>>>> “likely correct” hits.
>>>>>> 
>>>>>> Regarding the Butyrophilin, it appears to have several isoforms of which 
>>>>>> the first one that got the high probability is necessary to explain all 
>>>>>> the observed peptides for this isoform protein family group, the other 
>>>>>> proteins in the family share many of the peptides with the tops hit, and 
>>>>>> come along for the ride, without having independent peptide evidence 
>>>>>> that would distinguish them from the other isoforms.
>>>>>> 
>>>>>> Please let me know when you have further questions.
>>>>>> 
>>>>>> Cheers!
>>>>>> -David 
>>>>>> 
>>>>>> 
>>>>>>> On Jul 29, 2024, at 4:55 AM, sudarshan kumar <[email protected] 
>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>> 
>>>>>>> Hi David,
>>>>>>> Thank you so much for doing an exhaustive study on the data. 
>>>>>>> Yes I agree with your keen observation that the data seems more kind of 
>>>>>>> poorly digested peptides. I repeated the analysis with both semi as 
>>>>>>> well as fully. I was getting 0 probability for fully digested searched 
>>>>>>> data from comet (though in comet search there were correct hits). While 
>>>>>>> in semi tryptic search (both peptide prophet and iprophet) returned 
>>>>>>> proteins with good probability. 
>>>>>>> I wonder-  in the summary tab I see there are proteins identified to 
>>>>>>> the tune of around 300 but when I look at the protein detail sheet 
>>>>>>> (sorted by PSM number) it shows hardly 10-12 proteins with at least 1 
>>>>>>> PSM. Rest all entries are with 0 PSM. Why this? Please explain to me. 
>>>>>>> Can you please also explain - when i see the top hit (as per the number 
>>>>>>> of highest PSM), there are more than 150 PSM for it. While the list of 
>>>>>>> identified proteins (with at least one PSM) is very small - hardly 
>>>>>>> 10-12. Why? Though I expected more number of hits with evenly 
>>>>>>> distributed PSM number across the proteins. 
>>>>>>> 
>>>>>>> Thank you so much!
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> On Sat, Jul 27, 2024 at 4:13 AM David Shteynberg 
>>>>>>> <[email protected] 
>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>> Hello again Sud,
>>>>>>>> 
>>>>>>>> -- 
>>>>>>>> You received this message because you are subscribed to the Google 
>>>>>>>> Groups "spctools-discuss" group.
>>>>>>>> To unsubscribe from this group and stop receiving emails from it, send 
>>>>>>>> an email to [email protected] 
>>>>>>>> <mailto:[email protected]>.
>>>>>>>> To view this discussion on the web visit 
>>>>>>>> https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org
>>>>>>>>  
>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>>>>>>> 
>>>>>>>> First, you can find my comet.params file attached.  It is modified to 
>>>>>>>> a set of parameters that I selected after having played a bit more 
>>>>>>>> with your dataset to try to discover some other reason why you might 
>>>>>>>> be getting low number of correct IDs.  One thing I am noticing (after 
>>>>>>>> having performed a semi-tryptic search with comet) is that the 
>>>>>>>> majority of correct peptide IDs are semi-tryptic.  This is expected 
>>>>>>>> among incorrect results, but among correct results this indicates a 
>>>>>>>> potential issue with tryptic digestion of the sample.  The model for 
>>>>>>>> NTT is learned automatically by PeptideProphet and is pasted here:
>>>>>>>> 
>>>>>>>> -- 
>>>>>>>> You received this message because you are subscribed to the Google 
>>>>>>>> Groups "spctools-discuss" group.
>>>>>>>> To unsubscribe from this group and stop receiving emails from it, send 
>>>>>>>> an email to [email protected] 
>>>>>>>> <mailto:[email protected]>.
>>>>>>>> To view this discussion on the web visit 
>>>>>>>> https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org
>>>>>>>>  
>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>>>>>>> 
>>>>>>>> 
>>>>>>>> I recommend this data is searched without strict tryptic-end 
>>>>>>>> requirements on the peptides.
>>>>>>>> 
>>>>>>>> Cheers!
>>>>>>>> -David
>>>>>>>> 
>>>>>>>> 
>>>>>>>>> On Jul 26, 2024, at 10:18 AM, sudarshan kumar 
>>>>>>>>> <[email protected] <mailto:[email protected]>> wrote:
>>>>>>>>> 
>>>>>>>>> Thank you so much to both of you Luis and David. It was worth. 
>>>>>>>>> Otherwise everytime we were used to work with the data class comet 
>>>>>>>>> file. 
>>>>>>>>> 
>>>>>>>>> It worked. 
>>>>>>>>> 
>>>>>>>>> On Fri, Jul 26, 2024, 22:14 Jimmy Eng <[email protected] 
>>>>>>>>> <mailto:[email protected]>> wrote:
>>>>>>>>>> Just so that you're aware, this can also be downloaded from the 
>>>>>>>>>> Comet website for each release.   Here's the parameters page for the 
>>>>>>>>>> 2024.01 release 
>>>>>>>>>> <https://uwpr.github.io/Comet/parameters/parameters_202401/> and you 
>>>>>>>>>> can find the parameters page for all prior releases here 
>>>>>>>>>> <https://uwpr.github.io/Comet/parameters/>.  Every parameter is 
>>>>>>>>>> described and example comet.params files for each release version 
>>>>>>>>>> can be downloaded at the head of each parameters release page.
>>>>>>>>>> 
>>>>>>>>>> On Friday, July 26, 2024 at 4:47:26 AM UTC-7 sudarshan kumar wrote:
>>>>>>>>>> Luis,
>>>>>>>>>> Thank you so much. I could do it. 
>>>>>>>>>> Best 
>>>>>>>>>> Sud
>>>>>>>>>> 
>>>>>>>>>> On Fri, Jul 26, 2024 at 1:30 PM 'Luis Mendoza' via spctools-discuss 
>>>>>>>>>> <spctools...@ <>googlegroups.com <http://googlegroups.com/>> wrote:
>>>>>>>>>> Hello,
>>>>>>>>>> You can create a comet parameters file using Petunia.  Simply choose 
>>>>>>>>>> the "Files" menu, then go to the desired directory (or create a new 
>>>>>>>>>> one), and then look for and click on the "New" button at the bottom 
>>>>>>>>>> of the window; you can then choose to create a new file and give it 
>>>>>>>>>> any name you want:
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> Hope this helps,
>>>>>>>>>> --Luis
>>>>>>>>>> 
>>>>>>>>>> 
>>>>>>>>>> On Fri, Jul 26, 2024 at 12:23 AM sudarshan kumar 
>>>>>>>>>> <[email protected] <>> wrote:
>>>>>>>>>> Please share notepad version of comet.param version 2024. 
>>>>>>>>>> 
>>>>>>>>>> -- 
>>>>>>>>>> You received this message because you are subscribed to the Google 
>>>>>>>>>> Groups "spctools-discuss" group.
>>>>>>>>>> To unsubscribe from this group and stop receiving emails from it, 
>>>>>>>>>> send an email to [email protected] 
>>>>>>>>>> <mailto:[email protected]>.
>>>>>>>>>> To view this discussion on the web visit 
>>>>>>>>>> https://groups.google.com/d/msgid/spctools-discuss/50158fb6-9d50-427f-a8e4-1126333f0cc8n%40googlegroups.com
>>>>>>>>>>  
>>>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/50158fb6-9d50-427f-a8e4-1126333f0cc8n%40googlegroups.com?utm_medium=email&utm_source=footer>.
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> -- 
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>>>>>>>>> Groups "spctools-discuss" group.
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>>>>>>>>> send an email to [email protected] 
>>>>>>>>> <mailto:[email protected]>.
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>>>>>>>>>  
>>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/CALZrgHTtZKrLEdKuAvsuvBF-GWn%2Bmd3T0g0dD4DX-EujVSh7Lg%40mail.gmail.com?utm_medium=email&utm_source=footer>.
>>>>>>>> 
>>>>>>>> 
>>>>>>>> -- 
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>>>>>>>> an email to [email protected] 
>>>>>>>> <mailto:[email protected]>.
>>>>>>>> To view this discussion on the web visit 
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>>>>>>>>  
>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>>>>>>> 
>>>>>>>> 
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>>>>>>>> an email to [email protected] 
>>>>>>>> <mailto:[email protected]>.
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>>>>>>>>  
>>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/E48C9F54-97ED-4825-AA14-CF84A8956729%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>>>>>> 
>>>>>>> 
>>>>>>> -- 
>>>>>>> -------------------------------------------------------------------
>>>>>>> The real voyage of discovery consists not in seeking new lands but 
>>>>>>> seeing with new eyes. — Marcel Proust
>>>>>>> 
>>>>>>> Dr. Sudarshan Kumar
>>>>>>> (Fulbright-Nehru Fellow)
>>>>>>> (B.V.Sc.& A.H., M.V.Sc <http://m.v.sc/>., PhD.)
>>>>>>> Sr. Scientist
>>>>>>> Animal Biotechnology Center
>>>>>>> (Proteomics and Cell Biology Lab.)
>>>>>>> National Dairy Research Institute Karnal, 132001
>>>>>>> Haryana, India
>>>>>>> Contact No 09254912456
>>>>>>> URL www.ndri.res.in <http://www.ndri.res.in/>
>>>>>>> Orcid Id: https://orcid.org/0000-0002-9816-4307
>>>>>>> 
>>>>>>> 
>>>>>>> -- 
>>>>>>> You received this message because you are subscribed to the Google 
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>>>>>>> an email to [email protected] 
>>>>>>> <mailto:[email protected]>.
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>>>>>>>  
>>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/CALZrgHT5WUFyzYQWdLiDk_tMq2%2BHpwKKn7OJyM7iwrZgxcSt-w%40mail.gmail.com?utm_medium=email&utm_source=footer>.
>>>>>> 
>>>>>> 
>>>>>> -- 
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>>>>>> an email to [email protected] 
>>>>>> <mailto:[email protected]>.
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>>>>>>  
>>>>>> <https://groups.google.com/d/msgid/spctools-discuss/C9F27E69-2022-49BC-BEE6-282369C6E694%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>>>> 
>>>>> 
>>>>> --
>>>>> -------------------------------------------------------------------
>>>>> The real voyage of discovery consists not in seeking new lands but seeing 
>>>>> with new eyes. — Marcel Proust
>>>>> 
>>>>> Dr. Sudarshan Kumar
>>>>> (Fulbright-Nehru Fellow)
>>>>> (B.V.Sc.& A.H., M.V.Sc <http://m.v.sc/>., PhD.)
>>>>> Sr. Scientist
>>>>> Animal Biotechnology Center
>>>>> (Proteomics and Cell Biology Lab.)
>>>>> National Dairy Research Institute Karnal, 132001
>>>>> Haryana, India
>>>>> Contact No 09254912456
>>>>> URL www.ndri.res.in <http://www.ndri.res.in/>
>>>>> Orcid Id: https://orcid.org/0000-0002-9816-4307
>>>>> 
>>>>> 
>>>>> -- 
>>>>> You received this message because you are subscribed to the Google Groups 
>>>>> "spctools-discuss" group.
>>>>> To unsubscribe from this group and stop receiving emails from it, send an 
>>>>> email to [email protected] 
>>>>> <mailto:[email protected]>.
>>>>> To view this discussion on the web visit 
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>>>>>  
>>>>> <https://groups.google.com/d/msgid/spctools-discuss/CALZrgHS_9bhP3jtUO%2BaUKmRMj-J%3DMte0EQ-%3DXcnwdeg%2BD%3D52dw%40mail.gmail.com?utm_medium=email&utm_source=footer>.
>>>> 
>>>> 
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>>>> email to [email protected] 
>>>> <mailto:[email protected]>.
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>>>>  
>>>> <https://groups.google.com/d/msgid/spctools-discuss/223C4760-0503-464D-B7C9-89B0DC35E03E%40systemsbiology.org?utm_medium=email&utm_source=footer>.
>>> 
>>> 
>>> --
>>> -------------------------------------------------------------------
>>> The real voyage of discovery consists not in seeking new lands but seeing 
>>> with new eyes. — Marcel Proust
>>> 
>>> Dr. Sudarshan Kumar
>>> (Fulbright-Nehru Fellow)
>>> (B.V.Sc.& A.H., M.V.Sc <http://m.v.sc/>., PhD.)
>>> Sr. Scientist
>>> Animal Biotechnology Center
>>> (Proteomics and Cell Biology Lab.)
>>> National Dairy Research Institute Karnal, 132001
>>> Haryana, India
>>> Contact No 09254912456
>>> URL www.ndri.res.in <http://www.ndri.res.in/>
>>> Orcid Id: https://orcid.org/0000-0002-9816-4307
>>> 
>>> 
>>> -- 
>>> You received this message because you are subscribed to the Google Groups 
>>> "spctools-discuss" group.
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>>> email to [email protected] 
>>> <mailto:[email protected]>.
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>>>  
>>> <https://groups.google.com/d/msgid/spctools-discuss/CALZrgHT3nPTdmd_aftzyoCdnkvV%2BBOW75T5ZkBmkkdPqudrHjw%40mail.gmail.com?utm_medium=email&utm_source=footer>.
>> 
>> 
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>> email to [email protected] 
>> <mailto:[email protected]>.
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>>  
>> <https://groups.google.com/d/msgid/spctools-discuss/CAGJJY%3D_2JpPnKbPqN4W9rvb7ry%3D8GNyEbE_AqyZFeghohf6raQ%40mail.gmail.com?utm_medium=email&utm_source=footer>.
> 
> 
> --
> -------------------------------------------------------------------
> The real voyage of discovery consists not in seeking new lands but seeing 
> with new eyes. — Marcel Proust
> 
> Dr. Sudarshan Kumar
> (Fulbright-Nehru Fellow)
> (B.V.Sc.& A.H., M.V.Sc <http://m.v.sc/>., PhD.)
> Sr. Scientist
> Animal Biotechnology Center
> (Proteomics and Cell Biology Lab.)
> National Dairy Research Institute Karnal, 132001
> Haryana, India
> Contact No 09254912456
> URL www.ndri.res.in <http://www.ndri.res.in/>
> Orcid Id: https://orcid.org/0000-0002-9816-4307
> 
> 
> -- 
> You received this message because you are subscribed to the Google Groups 
> "spctools-discuss" group.
> To unsubscribe from this group and stop receiving emails from it, send an 
> email to [email protected] 
> <mailto:[email protected]>.
> To view this discussion on the web visit 
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>  
> <https://groups.google.com/d/msgid/spctools-discuss/CALZrgHRKeRNpX4fkN-yc56Fxe%3Do3buD1Cmsv%3DbTL7JxVBrSAtQ%40mail.gmail.com?utm_medium=email&utm_source=footer>.
> <query.pptx>

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